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Dissecting Footy Grid Combinations

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Footy grid has been a phenomanon amongst trivia-loving footy fans in recent weeks. In this post I use AFL data to get disect the most difficult combinations.

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Sport
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AFL
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Data
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Footy Grid
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Author
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Tim Gummer

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Published
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Sunday, 13 August 2023

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What is Footy Grid?

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Footy grid is a daily AFL-themed trivia game for testing your knowledge of past and present players. The idea is pick players that intersect between two categories. These categories typically include teams, as well career or best season statistics (goals, kicks etc.), awards (Brownlow, Norm Smith) and other (e.g. height).

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You are awarded a rarity score based on what other players of the game have chosen, the lower your score the rarer the player. Given people know this, sometimes a less obvious player is actually more selected than the most obvious. For example, in today’s grid Scotty Lucas was actually the most popular1 Essendon player to kick more than 50 goals in a season over Matthew Lloyd (who I would have thought would be the most obvious).

  • 1 the game allows you to see the most popular selections once you have attempted it

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    My Performance

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    I would say I am a relatively average2 player at the game. While it varies quite a lot, I would say a solid score for me is when I am better than around 40%3 of players (although I will occasionally score in the 80th or even 90th percentile if it aligns with my area of expertise4). My attempt on the 8thof August is below:

  • 2 Among a sea of footy tragics, so I don’t take any shame in this

  • 3 I will elaborate on why I think the 40th percentile is at least average if not above average below

  • 4 For example, I tend to be pretty solid at pulling out obscure Eagles and Dockers players from the late 2000’s and early 2010’s

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    You will notice that my attempt is missing an answer for the middle square of the grid (Essendon and Collingwood player) and that is because I could not figure out that answer and took a wild stab. As I discovered later on, the most popular player for that question was an obscure player from the late 1990’s and early 2000’s (Andrew Ukovic5) that I am certain most people had to look up or entered on their second attempt when they saw he was most popular.

  • 5 perhaps I am too young and he was actually a household name but I somehow highly doubt this given his mediocre career statistics

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    This is why I would say I am average as opposed to below average for being in the 40th percentile, a lot of the scores on there are people attempting the grid multiple times or even cheating6 on their first time. I don’t really care if people do that but for me it’s a lot more fun doing it without any kind of assistance7.

  • 6 I have seen varying interpretations of what counts as cheating, but I would certainly say googling the answer and then entering a player you have never heard of is cheating

  • 7 and perhaps it also make me feel better when I see my less than stellar percentiles

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    Most Diffcult Combinations

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    List of Categories

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    Below is an exhaustive list of all the categories that have appeared in Footy Grid between the 21st of July and the 29th of August 2023 (the dates that are currently visible on the website on the date of writing this):

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    • Club played for 8,9

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      Played in a particular decade10:

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      • 80’s

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      • 90’s

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      • 00’s

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      Season stats 11,12:

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      • >50 goals

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      • 300+ kicks

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      • Average 2+ goals

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      • Average 25+ disposals

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      • Average 5+ marks

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      • Average 5+ tackles

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      • Average 100+ fantasy points

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      • Won 15+ games

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      • Lost 15+ games

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      Career stats 13,14:

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      • Played 20 or less games

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      • Played 50 or less games

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      • Played 200 or more games

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      • Never scored a goal

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      • 250+ goals

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      • 250+ games

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      • 2500+ kicks

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      • 500+ tackles

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      • All Time Top 50 Goal Kicker

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      Game stats15,16:

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      • 5+ goals

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      • 10+ marks

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      • 30+ disposals

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      • 40+ disposals

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      • 25+ disposals in a final

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    • Grand Final Player

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    • One Club Player

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      Awards:

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      • Brownlow Medalist

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      • Club Best and Fairest (1980 onwards)

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      • Colman Medalist

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      • Rising Star Nomination

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      • Norm Smith Medalist

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      Height:

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      • Taller than 195cm

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      • Under 185cm

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      Name17:

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    • Left footers18

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    • One-Club Player

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      Coached by:

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      • Ross Lyon

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      • Brad Scott

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      • Leigh Matthews

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      Teammate of19:

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      • Lance Franklin

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      • Isaac Smith

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      • Nic Naitanui

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      • Andrew Phillips

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      • Scott Pendlebury

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      • Jack Riewoldt

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      • Jack Ziebell

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      • Brodie Grundy

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      • Dustin Fletcher

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      • Luke Shuey

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      • Tom Rockliff

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      • Phil Davis

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      • Stephen Coniglio

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      • Dylan Buckley

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    • All Australian (1991 to present)

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  • 8 University and Fitzroy as defunct teams will never appear as a category, although it says in the Footy Grid help page that Fitzroy will be combined in with Brisbane in the future

  • 9 The South Melbourne and Sydney swans; the Brisbane Bears and Lions; Footscray and Western Bulldogs are grouped together

  • 10 we can probably extend this to played in any decade, these are just the decades we have seen so far

  • 11 includes finals

  • 12 there are probably different stats and thresholds that will appear in the future

  • 13 includes finals

  • 14 there are probably different stats and thresholds that will appear in the future

  • 15 includes finals

  • 16 there are probably different stats and thresholds that will appear in the future

  • 17 there will probably be other names that crop up in the future

  • 18 Data available 2013 onwards

  • 19 These ones typically honour retirees

    • As it is the most prominent category, we will mainly focus on teams in this article but some of the other categories may appear as well. Also note that generally, according the the rules, when a team category intersects with a non-team category, the player need not have satisfied the category whilst playing at the club20.

  • 20 e.g. Gary Ablett Jr. counts as a Grand Final player for Gold Coast even though he only ever played in grand finals for Geelong

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    Obtaining the Data

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    In order to look through the possible combinations, I will use R as I did in my previous post. Likewise, I will also be using the fitzRoy package to obtain my data. Footy Grid has the full history of AFL players, so I will use the fryzigg data. There are also some player details that are needed and for that, I will use the AFL Tables.

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    Let’s begin by loading our required packages21.

  • 21 As I outline below, I will only be using tidyverse for data wrangling this time.

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    We will get the data using the following code22:

  • 22 Note that I am using the fst package below to save the data locally instead of using RDS files on suggestion from one of the readers of my previous posts (see the “Being a good citizen” call-out in my previous post for more information on why I save the output locally)

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    if(file.exists("data/player_stats_fryzigg.fst")) {
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-} else {
-  player_stats_fryzigg <-  fetch_player_stats_fryzigg(season = 1897:2023)
-  write_fst(player_stats_fryzigg, "data/player_stats_fryzigg.fst")
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-if(file.exists("data/player_details.fst")) {
-  player_details <- read_fst("data/player_details.fst") |> as_tibble()
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    Other Data Sources

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    While the fitzRoy sources provide most of the data we need but some data is still missing.

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    Brownlow medal data

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    As with the Norm Smith medal in my previous post, the Brownlow medal winners are not available in the fitzRoy data. However they are available on AFL Tables, Wikipedia and the official AFL Website. As it turns out, the easiest one to scrape is the AFL website, so that is what we will use.

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-brownlow_url <- "https://www.afl.com.au/brownlow-medal/history"
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    All-Australian Data

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    The official AFL website has a table of all the all players selected in All Australian Teams since 1953 here23.

  • 23 Before 1991 it was either the VFL team of the year or based on the interstate carnival, hence why Footy Grid only considers All Australian from 1991 onwards

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    [1] "data-Dtbc3.csv"
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    Data Wrangling

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    Unlike the previous post, I will only use the tidyverse24.

  • 24 While the experiment of producing both tidyverse and data.table of the code was an interesting one, I have decided that it is probably too time consuming going forward.

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    player_stats_fryzigg$player_team |> unique() -> teams_fryzigg
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-  "Brisbane Lions", "Brisbane Lions",
-  "Brisbane Bears", "Brisbane Lions", #"Brisbane Bears",
-  "Carlton", "Carlton",
-  "Collingwood", "Collingwood",
-  "Essendon", "Essendon",
-  "Fitzroy", "Fitzroy",
-  "Fremantle", "Fremantle",
-  "GWS", "Greater Western Sydney",
-  "Greater Western Sydney", "Greater Western Sydney",
-  "Geelong", "Geelong",
-  "Gold Coast", "Gold Coast",
-  "Hawthorn", "Hawthorn",
-  "Melbourne", "Melbourne",
-  "North Melbourne", "North Melbourne",
-  "Port Adelaide", "Port Adelaide",
-  "Richmond", "Richmond",
-  "St Kilda", "St Kilda",
-  "Sydney", "Sydney",
-  "West Coast", "West Coast",
-  "University", "University",
-  "Western Bulldogs", "Western Bulldogs"
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-player_stats_fryzigg |> 
-  select(player_first_name, player_last_name, match_round, match_date, metres_gained) |> 
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-  mutate(
-    player_first_season = as.integer(str_sub(Seasons, 1, 4))
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-  select(
-    player_full_name = Player,
-    player_team = Team,
-    player_first_season,
-    player_height = HT,
-    player_weight = WT,
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-player_stats_fryzigg |> 
-  mutate(
-    match_season = as.integer(str_sub(match_date, 1, 4)),
-    match_date = as.Date(match_date, format = "%Y-%m-%d"),
-    season_decade = paste0(str_sub(match_season, 1, 3), "0s")
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-  group_by(
-    player_id, player_team
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-  mutate(
-    player_first_season = min(match_season)
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-  ungroup() |> 
-  group_by(
-    player_id, player_first_name, player_last_name, player_first_season, player_team, 
-    match_season, season_decade
-  ) |> 
-  summarise(
-    .groups = "drop",
-    season_games = n(),
-    season_disposals = sum(disposals, na.rm = TRUE),
-    season_kicks = sum(kicks, na.rm = TRUE),
-    season_handballs = sum(handballs, na.rm = TRUE),
-    season_marks = sum(marks, na.rm = TRUE),
-    season_goals = sum(goals, na.rm = TRUE),
-    season_behinds = sum(behinds, na.rm = TRUE),
-    season_hitouts = sum(hitouts, na.rm = TRUE),
-    season_tackles = sum(tackles, na.rm = TRUE)
-  ) |> 
-  View()
-
-
-
-player_details |> 
-  filter(is.na(Goals)) |> 
-  arrange(desc(Games)) |> 
-  View()
    -
    -

    Final Output

    -

    Player Lookup Table

    -

    Below I have a lookup table, this table is not for cheating purposes but more done as an exercise and perhaps for looking into who some obscure examples might have been after you have attempted the quiz on the day. I may continue to update this as new categories get introduced, but for now I present it with all the categories that have come about between the 21st of July and the 8th of August 2023.

    -

    Comments

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diff --git a/_site_rendered/blog/2023/more-afl-stats/index.html b/_site_rendered/blog/2023/more-afl-stats/index.html deleted file mode 100644 index 56b8e75..0000000 --- a/_site_rendered/blog/2023/more-afl-stats/index.html +++ /dev/null @@ -1,567 +0,0 @@ - - - - - - - - -Tim Gummer - More AFL Stats - - - - - - - - - - - - - - - - - - - - - - - - -

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    Follow ups from my first post (more questions and answers with less fanfair).

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    Tim Gummer

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    Thursday, 3 August 2023

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    Questions

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    • Highest goal to mark ratio

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    (Over-)Analysing Idle Footy Chat

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    This blog post discusses the types of questions one often posits while watching the footy (or indeed any sport). I will use this article as a medium through which I can introduce analysis of AFL data in R.

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    Tim Gummer

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    Thursday, 3 August 2023

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    -Apologies for the delay -
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    I have been promising some people that this (my first) post will be “coming soon” for quite some time now. It has finally arrived and the main reasons for my slowness are:

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    • I am a slow writer. I often have all the ideas in my head, but when it comes to putting them into nice, publishable words, it has a tendency to become a bit of a slog.

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    • The scope of this project was overly ambitious and expanded as I kept on branching off from the main mission in order provide additional background (when given free reign, this is my tendency).

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    The R code and analysis itself did not take too long, so the main areas I am looking to improve in the future are my writing efficiency and keeping the scope of my blog posts under control. However, it would feel like going against my style to avoid going down rabbit holes and off on tangents entirely, so there is still a balance to be struck there.

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    The out-of-control scope has also impacted the length of this article. I commend anyone who actually reads the whole thing, but hopefully it’s also possible to jump around and only read the parts that interest you in particular using the table of contents. I will endeavour to keep future blog posts a lot shorter going forward.

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    Thanks to everyone who has provided feedback and suggestions.

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    • Fixed some grammatical, punctuation and spelling errors

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    • Re-worded the question concerning goal kickers to include the words “for a team in a single game” instead of merely “in a single game”. I decided to change the question to suit the answer, instead of the reverse (this is because changing the answers would mean materially modifying the content of the article, which I didn’t want to do given the vast majority of the people who would ever read it, have done so already)

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    Prelude

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    Since antiquity (or at the very least living memory), sporting data has been recorded, published and analysed for almost every professional sport known to man. In the modern day of analytics and social media it has reached a point where sports statistics are constantly being recorded and opined on by teams, the press and your average punter alike.

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    My beloved sport of Australian Rules Football (which I will henceforth refer to as “footy”1) is no different. Indeed some have even described the AFL (Australia’s national competition) as “the most data rich sport on Earth”2, although I would suggest that certain American sports such as baseball (i.e. Moneyball) have made far better use of their data.

  • 1 As a Western Australian this is how I define it (along with the majority of Australia) but I am aware that this term is reserved for rugby league in New South Wales and Queensland

  • 2 Source

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    It is my observation that it is common for those watching or attending live footy to ask questions such as:

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    What is the record for the most [statistical category]?

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    or

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    When was the last time [obscure event] happened?

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    I believe a contributor to this is that we are emulating what we hear on the broadcast commentary. The difference is that they often have a team of computer-type boffins3 behind the scenes feeding them the answer.

  • 3 The video linked here is unfortunately clipped from an American guy who kind of missed the point a bit, but it is also the highest quality clip I could find of this brilliant piece of commentary from BT (Brian Taylor for the uninitiated).

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    But what are us plebeians meant to do, bereft of such luxuries?

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    you might ask…

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    Well, a quick Google search will make short work of questions of a more trivial nature such as “which player has kicked the most career goals”4 or “which team has won the most premierships”5. The more savvy among us may find answers to slightly more edifying questions by performing pro gamer moves such as

  • 4 Tony Lockett on 1360

  • 5 Carlton and Essendon tied on 16

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    • Trawling through more obscure websites such as AFL Tables6 to answer things like “What is the most disposals Zac Dawson had in a game”7; or

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    • Digging into the deep recesses of the AFL Live App to answer questions like “What is the record for the longest distance run in a game”8

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  • 6 the baseball/basketball reference of the footy world (but maybe not quite as extensive)

  • 7 19, versus Melbourne in round 10 2009

  • 8 Tom Scully, 18.9 KM

    • Even so, some more sophisticated questions will still go unanswered.

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    However, if you are a gadget-type operator9 like myself, you will expand the number of footy stats questions you can answer immensely by accessing and manipulating the raw data yourself. There are, of course, a multitude of tools and approaches to this, but in this post, I will be using R (my preferred programming language)

  • 9 My footy tipping username is Gadget-type Operator and I often use other BT quotes for my username on other (even non-footy-related) accounts

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    Target Audience Unclear

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    If you are a footy fan this article will likely present as some mildy interesting footy facts, combined with incomprehensible techno-babble. For R users this will likely appear to be a fairly elementary data wrangling exercise, combined with a bunch of references you don’t understand. But if you are both a footy fan and an R user, it will hopefully prove to be a quite interesting read.

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    A concrete example

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    I recently had the misfortune (as a West Coast fan) of attending a game live between the Sydney Swans and the (not so) mighty West Coast Eagles with the following score line (the equal fourth highest margin of all time):

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    Our respective reactions really tell it all
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    In one-sided games like this, it seems to me that footy stats questions become more common than usual for two key reasons:

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    1. It adds something interesting to a game that otherwise lacks excitement

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    2. These games are often filled with large statistical anomalies that might set new records

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    As my usual footy-going companion (Saroop) and I are both actuaries by trade, footy stats questions were flying left, right, and centre on that gloomy (though not due to the weather) Saturday night at the SCG. The questions we posed did not just vanish into the aether either, I ,with the idea of writing this article in mind, decided to record the more interesting (and doable) questions.

    -

    Question List

    -

    This article aims to tackle the questions listed below:

    -
    - -
    -
    -
    -
    - -
    -
    -Disclaimer on the asterisk -
    -
    -
    -

    I have put an asterisk next to questions that either:

    -
      -
    • cannot easily be answered by the methods I discuss below; or
      • -
    • are too lengthy for this blog post (these may get their own dedicated blog post in the future).
      • -
    -

    The remaining questions (which have hyperlinks to later sections of this article) will be tackled using R below.

    -
    -
    -

    Note that things are about to get very technical so if you are only really interested in the answers (and not the R coding), you can jump ahead by clicking here.

    -

    Technical Background

    -

    The fitzRoy Package

    -

    The first step in analysing AFL data is obtaining the data (the so-called “collection” phase). Our first thought might be to search the web for publicly available AFL datasets and APIs or even scrape the data from websites such as the official AFL website, Footywire or AFL Tables. But there is a more straight-forward way.

    -

    While most people now know Fitzroy as a trendy inner city suburb of Melbourne, filled with terraces and over-priced croissants, it was once home10 to the mighty (and now merged out of existence) Fitzroy Lions Football Club.

  • 10 It is also (regrettably) the place of my birth but as a WA boy I don’t like to talk about the fact that my parents happened to be in Melbourne when I was born.

    • -
    -

    -
    -
    -

    We can obtain the data we need very simply using its name-sake, the fitzRoy R package. This package abstracts away all the web scraping and API calls for us into a very helpful family of fetch_* functions.

    -

    So let’s begin by loading the fitzRoy package and while we’re at it, we will also load all the other packages we will be using later on.

    -
    -
    library(fitzRoy)
-
-# Note that I generally avoid mixing dplyr and data.table at the same time
-#   but the reason I have done this with will become apparent later
-library(dplyr)
-library(data.table)
-
-library(rvest)
-library(stringr)
-library(tidyr)
-library(purrr)
-library(lubridate)
    -
    -

    -fitzRoy Data Sources

    -

    fitzRoy provides access to a number of footy data sources11 including AFL Tables and the official AFL website. Each data source has its own advantages and disadvantages, for example:

  • 11 Up-to-date information on data sources can be found on fitzRoy’s documentation site

    • -
      -

    • AFL Tables has the entirety of AFL/VFL history (1897 to present) but lacks some of the more advanced stats.

      • -

    • The official AFL website only has data from 2014 onwards but it also probably the most complete in terms of the advanced statistics it contains (e.g. centre bounce attendances12).

      • -
    -

  • 12 Centre bounce attendances (CBAs) are a commonly-used metric in AFL Fantasy, fantasy “coaches” often look at tools such as this one to help with researching their trades.

    • All of the different data sources are compared in the table below:

    -
    -
    - -
    -
    - -
    -
    -

    Note that each row of the table can be expanded to reveal what data is available from each source, as well at its use-case. In addition to the sources listed in this table, the following functions only come from one source:

    -

    Importing the Data

    -

    For the purposes of answering the questions above, I am most interested in the full history of the AFL and have decided to use AFL Tables as my primary data source13. I will also use Fryzigg for one small use-case where AFL Tables is missing key data (disposal efficiency) and some bespoke web scraping for Norm Smith Medallists.

  • 13 In hindsight I somewhat regret this decision and would have probably preferred to use Fryzigg for everything (with the exception of quarter scores which it doesn’t have and AFL Tables does) but I only realised it had the full AFL/VFL history when I constructed the table comparing data sources above

    • -

    The fetch_* family of functions from the fitzRoy package allow us to read data from the various sources. Consult the documentation site for a complete list of all the available functions.

    -

    We can fetch this data via fitzRoy with the following code:

    -
    -
    player_stats <- fetch_player_stats_afltables(season = 1897:2023)
-results <- fetch_results_afltables(season = 1897:2023)
-player_details <- fetch_player_details_afltables()
-player_stats_fryzigg <-  fetch_player_stats_fryzigg(season = 1897:2023)
    -
    -
    -
    -
    - -
    -
    -Being a good citizen -
    -
    -
    -

    When sourcing data from fitzRoy, it is important to follow good data collection14 etiquette by only downloading the data you need and avoiding repeatedly downloading the same data over and over again. This prevents servers being overloaded and will mean everyone will get their data faster.

    -

    In keeping with this, for the purposes of this blog post, I have saved the data in a local RDS file. That way, I can simply use readRDS() instead of of repeatedly calling the fetch_* functions. The code for this is below (and the code above is not actually run but is cleaner for demonstration purposes):

    -
    -
    if(file.exists("data/player_stats.RDS")) {
-  player_stats <- readRDS("data/player_stats.RDS")
-  
-} else {
-  player_stats <- fitzRoy::fetch_player_stats_afltables(season = 1897:2023)
-  saveRDS(player_stats, "data/player_stats.RDS")
-}
-
-if(file.exists("data/results.RDS")) {
-  results <- readRDS("data/results.RDS")
-  
-} else {
-  results <- fitzRoy::fetch_results_afltables(season = 1897:2023)
-  saveRDS(results, "data/results.RDS")
-}
-
-if(file.exists("data/player_details.RDS")) {
-  player_details <- readRDS("data/player_details.RDS")
-  
-} else {
-  player_details <- fetch_player_details_afltables()
-  saveRDS(player_details, "data/player_details.RDS")
-}
-
-if(file.exists("data/player_stats_fryzigg.RDS")) {
-  player_stats_fryzigg <- readRDS("data/player_stats_fryzigg.RDS")
-  
-} else {
-  player_stats_fryzigg <-  fetch_player_stats_fryzigg(season = 1897:2023)
-  saveRDS(player_stats_fryzigg, "data/player_stats_fryzigg.RDS")
-}
    -
    -
    -
    -

  • 14 this topic is discussed on the fitzRoy documentation site here

    • The data we have read in is as at round 19 of the 2023 AFL season.

    -

    Finicky Details About Other R Packages

    -

    Tidyverse Versus data.table -

    -

    In the R community, there is an ongoing power struggle between using the Posit15-backed tidyverse and the heavily-optimised data.table.

  • 15 formerly known as RStudio (RIP)

    • -

    As to not unsettle people who prefer either dplyr (and the tidyverse) or data.table, I have written code in both packages16. Where relevant, I have used a tabbed layout for the convenience of the reader. As my personal preference for readability purposes is the tidyverse17, I will place this code in the first tab.

  • 16 Note that I have not written a base R dataframes version because I can see arguments for using both tidyverse and data.table but base R data.frames will probably cause more pain than they are worth (there is a reason that tidyverse and data.table exist)

  • 17 I will typically will only use data.table if the size of data necessitates it. In this case, the data is less than a million rows so there are no problems.

    • -
    -
    -
    - -
    -
    -A cautionary tale -
    -
    -
    -

    While doing things in this way did scratch something of a perfectionist’s itch in me and was a fun learning experience, I will probably refrain from doing something like this again in future posts. I don’t think the additional time it took me to essentially write the same code twice is worth the effort.

    -
    -
    -
    - -
    -
    -

    Note that the code below is somewhat redundant as the fitzRoy package follows the tidyverse philosophy and returns tibbles. I have used the _tb suffix18 to distinguish tibble/dplyr/tidyverse from the data.table code.

  • 18 an abbreviation of “tibble”

    • -
    -
    player_stats_tb <- as_tibble(player_stats)
-results_tb <- as_tibble(results)
-player_details_tb <- as_tibble(player_details)
-player_stats_fryzigg_tb <- as_tibble(player_stats_fryzigg)
    -
    -
    -
    -

    Henceforth, all data.table code will use the _dt suffix19 as to distinguish it from the tidyverse code.

  • 19 an acronym of “data.table”

    • -
    -
    player_stats_dt <- as.data.table(player_stats)
-results_dt <- as.data.table(results)
-player_details_dt <- as.data.table(player_details)
-player_stats_fryzigg_dt <- as.data.table(player_stats_fryzigg)
    -
    -
    -
    -
    -

    Adoption of the Native Pipe Operator (|>)

    -

    The so-called pipe operator (%>%) of the magrittr package has been a core staple of tidyverse since its inception, but since the R core team introduced the so-called native pipe (|>) to base R (in version 4.120), this has led to a split in adoption. There are some nuances in its usage21 but it overall behaves in a similar way to the magrittr pipe and has less overhead (and is therefore faster). While the native pipe was initially missing some of the key features of the magrittr pipe, new features22 have been added to it that (in my mind) mean that it might have even surpassed the magrittr pipe.

  • 20 another cool thing introduced in this version of R was so-called function shorthand (\()), see help("function") for more details

  • 21 I may even cover these in a future blog post

  • 22 In R version 4.2, the _ symbol was added as a placeholder character and in R version 4.3, extractions using the $ symbol are now allowed

    • -

    While I have tried to appease people in both the tidyverse and data.table camps, I will not be re-writing my code more than once with such as minor syntactic difference as the pipe I use. I will therefore be dragging all my tidyverse-using readers kicking and screaming into the R 4.1 world by adopting the native pipe (|>) in my tidyverse code.

    -

    Note that the common RStudio shortcut, Ctrl+Shift+M can be changed from the magrittr pipe (%>%), which is still the default, to the native pipe (|>).

    -

    Webscraping package

    -

    While the majority of our data will be sourced using the fitzRoy package, a small amount of data (namely Norm Smith medalists, which are outside of the scope of fitzRoy) will require us to perform some bespoke web scraping. This will be performed using the rvest package (loaded above).

    -

    Preliminary Data Wrangling

    -

    Flattening the Data

    -

    To begin with, let’s scrutinise the results data in order to figure out what we have to work with.

    -
    -
    str(results)
    -
    -
    tibble [16,352 × 16] (S3: tbl_df/tbl/data.frame)
- $ Game        : num [1:16352] 1 2 3 4 5 6 7 8 9 10 ...
- $ Date        : Date[1:16352], format: "1897-05-08" "1897-05-08" ...
- $ Round       : chr [1:16352] "R1" "R1" "R1" "R1" ...
- $ Home.Team   : chr [1:16352] "Fitzroy" "Collingwood" "Geelong" "Sydney" ...
- $ Home.Goals  : int [1:16352] 6 5 3 3 6 4 3 9 6 5 ...
- $ Home.Behinds: int [1:16352] 13 11 6 9 4 6 8 10 5 9 ...
- $ Home.Points : int [1:16352] 49 41 24 27 40 30 26 64 41 39 ...
- $ Away.Team   : chr [1:16352] "Carlton" "St Kilda" "Essendon" "Melbourne" ...
- $ Away.Goals  : int [1:16352] 2 2 7 6 5 8 10 3 5 7 ...
- $ Away.Behinds: int [1:16352] 4 4 5 8 6 2 6 1 7 8 ...
- $ Away.Points : int [1:16352] 16 16 47 44 36 50 66 19 37 50 ...
- $ Venue       : chr [1:16352] "Brunswick St" "Victoria Park" "Corio Oval" "Lake Oval" ...
- $ Margin      : int [1:16352] 33 25 -23 -17 4 -20 -40 45 4 -11 ...
- $ Season      : num [1:16352] 1897 1897 1897 1897 1897 ...
- $ Round.Type  : chr [1:16352] "Regular" "Regular" "Regular" "Regular" ...
- $ Round.Number: int [1:16352] 1 1 1 1 2 2 2 2 3 3 ...
    -
    -
    -

    While inspecting the results we may note that certain key match-level information (e.g. quarter-by-quarter scores) for answering some of our questions is missing from it. As it turns out, this data is actually available on the player_stats_afl_tables data (one row per player per match) instead. Thus, we will opt to create a ‘flattened’ version of player_stats_afl_tables with all the match-level fields available to use on both datasets and discard the results dataset (save for some quick checks to make sure the player data ‘flattening’ worked as expected).

    -

    Now, let’s take a look at the player_stats_afl_tables dataset to determine which fields are player-level and which are match-level.

    -
    - -
    -
    -
    -
    str(player_stats)
    -
    -

    Note that the output has been placed into another tab as it is rather long.

    -
    -
    -
    -
    -
    tibble [663,115 × 59] (S3: tbl_df/tbl/data.frame)
- $ Season                 : num [1:663115] 1897 1897 1897 1897 1897 ...
- $ Round                  : chr [1:663115] "1" "1" "1" "1" ...
- $ Date                   : Date[1:663115], format: "1897-05-08" "1897-05-08" ...
- $ Local.start.time       : int [1:663115] 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 ...
- $ Venue                  : chr [1:663115] "Brunswick St" "Brunswick St" "Brunswick St" "Brunswick St" ...
- $ Attendance             : num [1:663115] 3000 3000 3000 3000 3000 3000 3000 3000 3000 3000 ...
- $ Home.team              : chr [1:663115] "Fitzroy" "Fitzroy" "Fitzroy" "Fitzroy" ...
- $ HQ1G                   : int [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ HQ1B                   : int [1:663115] 5 5 5 5 5 5 5 5 5 5 ...
- $ HQ2G                   : int [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ HQ2B                   : int [1:663115] 11 11 11 11 11 11 11 11 11 11 ...
- $ HQ3G                   : int [1:663115] 5 5 5 5 5 5 5 5 5 5 ...
- $ HQ3B                   : int [1:663115] 13 13 13 13 13 13 13 13 13 13 ...
- $ HQ4G                   : int [1:663115] 6 6 6 6 6 6 6 6 6 6 ...
- $ HQ4B                   : int [1:663115] 13 13 13 13 13 13 13 13 13 13 ...
- $ Home.score             : int [1:663115] 49 49 49 49 49 49 49 49 49 49 ...
- $ Away.team              : chr [1:663115] "Carlton" "Carlton" "Carlton" "Carlton" ...
- $ AQ1G                   : int [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ AQ1B                   : int [1:663115] 3 3 3 3 3 3 3 3 3 3 ...
- $ AQ2G                   : int [1:663115] 1 1 1 1 1 1 1 1 1 1 ...
- $ AQ2B                   : int [1:663115] 3 3 3 3 3 3 3 3 3 3 ...
- $ AQ3G                   : int [1:663115] 2 2 2 2 2 2 2 2 2 2 ...
- $ AQ3B                   : int [1:663115] 3 3 3 3 3 3 3 3 3 3 ...
- $ AQ4G                   : int [1:663115] 2 2 2 2 2 2 2 2 2 2 ...
- $ AQ4B                   : int [1:663115] 4 4 4 4 4 4 4 4 4 4 ...
- $ Away.score             : int [1:663115] 16 16 16 16 16 16 16 16 16 16 ...
- $ First.name             : chr [1:663115] "Bill" "Jimmy" "Bob" "Tom" ...
- $ Surname                : chr [1:663115] "Ahern" "Aitken" "Armstrong" "Blake" ...
- $ ID                     : num [1:663115] 4415 4416 4417 4419 4421 ...
- $ Jumper.No.             : chr [1:663115] "0" "0" "0" "0" ...
- $ Playing.for            : chr [1:663115] "Carlton" "Carlton" "Carlton" "Carlton" ...
- $ Kicks                  : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Marks                  : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Handballs              : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Goals                  : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Behinds                : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Hit.Outs               : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Tackles                : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Rebounds               : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Inside.50s             : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Clearances             : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Clangers               : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Frees.For              : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Frees.Against          : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Brownlow.Votes         : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Contested.Possessions  : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Uncontested.Possessions: num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Contested.Marks        : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Marks.Inside.50        : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ One.Percenters         : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Bounces                : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Goal.Assists           : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Time.on.Ground..       : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Substitute             : int [1:663115] 0 0 0 0 0 0 0 0 0 0 ...
- $ Umpire.1               : chr [1:663115] "Samuel Hood" "Samuel Hood" "Samuel Hood" "Samuel Hood" ...
- $ Umpire.2               : chr [1:663115] "" "" "" "" ...
- $ Umpire.3               : chr [1:663115] "" "" "" "" ...
- $ Umpire.4               : chr [1:663115] "" "" "" "" ...
- $ group_id               : int [1:663115] 2 2 2 2 2 2 2 2 2 2 ...
    -
    -
    -
    -
    -
    -

    Inspecting the fields and using some knowledge of the game, we can determine that the following fields are player-level:

    -
    -
    player_level_fields <- c(
-  "First.name", "Surname", "ID", "Jumper.No.", "Playing.for", "Kicks", "Marks", 
-  "Handballs", "Goals", "Behinds", "Hit.Outs", "Tackles", "Rebounds", "Inside.50s", 
-  "Clearances", "Clangers", "Frees.For", "Frees.Against", "Brownlow.Votes", 
-  "Contested.Possessions", "Uncontested.Possessions", "Contested.Marks", 
-  "Marks.Inside.50", "One.Percenters", "Bounces", "Goal.Assists", "Time.on.Ground..",
-  "Substitute"
-  )
-
-match_level_fields <- setdiff(colnames(player_stats), player_level_fields)
    -
    -

    We can now safely group and aggregate by the match_level_fields below:

    -
    - -
    -
    -
    -
    player_stats_tb |> 
-  mutate(
-    home_player = Playing.for == Home.team,
-    away_player = Playing.for == Away.team
-  ) |> 
-  group_by(pick(all_of(match_level_fields))) |> 
-  summarise(
-    player_count = n(),
-    home_kicks = sum(Kicks * home_player),
-    away_kicks = sum(Kicks * away_player),
-    home_marks = sum(Marks * home_player),
-    away_marks = sum(Marks * away_player),
-    home_handballs = sum(Handballs * home_player),
-    away_handballs = sum(Handballs * away_player),
-    home_hit_outs = sum(Hit.Outs * home_player),
-    away_hit_outs = sum(Hit.Outs * away_player),
-    home_tackles = sum(Tackles * home_player),
-    away_tackles = sum(Tackles * away_player),
-    home_rebounds = sum(Rebounds * home_player),
-    away_rebounds = sum(Rebounds * away_player),
-    home_inside_50s = sum(Inside.50s * home_player),
-    away_inside_50s = sum(Inside.50s * away_player),
-    home_clearances = sum(Clearances * home_player),
-    away_clearances = sum(Clearances * away_player),
-    home_clangers = sum(Clangers * home_player),
-    away_clangers = sum(Clangers * away_player),
-    home_frees_for = sum(Frees.For * home_player),
-    away_frees_for = sum(Frees.For * away_player),
-    home_frees_against = sum(Frees.Against * home_player),
-    away_frees_against = sum(Frees.Against * away_player),
-    home_contested_possessions = sum(Contested.Possessions * home_player),
-    away_contested_possessions = sum(Contested.Possessions * away_player),
-    home_uncontested_possessions = sum(Uncontested.Possessions * home_player),
-    away_uncontested_possessions = sum(Uncontested.Possessions * away_player),
-    home_contested_marks = sum(Contested.Marks * home_player),
-    away_contested_marks = sum(Contested.Marks * away_player),
-    home_marks_inside_50 = sum(Marks.Inside.50 * home_player),
-    away_marks_inside_50 = sum(Marks.Inside.50 * away_player),
-    home_one_percenters = sum(One.Percenters * home_player),
-    away_one_percenters = sum(One.Percenters * away_player),
-    home_bounces = sum(Bounces * home_player),
-    away_bounces = sum(Bounces * away_player),
-    home_goal_assists = sum(Goal.Assists * home_player),
-    away_goal_assists = sum(Goal.Assists * away_player),
-    .groups = "drop"
-  ) |>
-  arrange(Date, Local.start.time, Home.team) -> 
-  match_stats_flat_tb
-
-# verify correct number of games:
-nrow(match_stats_flat_tb) == nrow(results_tb)
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    match_stats_flat_dt <- copy(player_stats_dt)
-
-match_stats_flat_dt[, home_player := Playing.for == Home.team]
-match_stats_flat_dt[, away_player := Playing.for == Away.team]
-
-match_stats_flat_dt <- match_stats_flat_dt[, .(
-  player_count = .N,
-  home_kicks = sum(Kicks * home_player),
-  away_kicks = sum(Kicks * away_player),
-  home_marks = sum(Marks * home_player),
-  away_marks = sum(Marks * away_player),
-  home_handballs = sum(Handballs * home_player),
-  away_handballs = sum(Handballs * away_player),
-  home_hit_outs = sum(Hit.Outs * home_player),
-  away_hit_outs = sum(Hit.Outs * away_player),
-  home_tackles = sum(Tackles * home_player),
-  away_tackles = sum(Tackles * away_player),
-  home_rebounds = sum(Rebounds * home_player),
-  away_rebounds = sum(Rebounds * away_player),
-  home_inside_50s = sum(Inside.50s * home_player),
-  away_inside_50s = sum(Inside.50s * away_player),
-  home_clearances = sum(Clearances * home_player),
-  away_clearances = sum(Clearances * away_player),
-  home_clangers = sum(Clangers * home_player),
-  away_clangers = sum(Clangers * away_player),
-  home_frees_for = sum(Frees.For * home_player),
-  away_frees_for = sum(Frees.For * away_player),
-  home_frees_against = sum(Frees.Against * home_player),
-  away_frees_against = sum(Frees.Against * away_player),
-  home_contested_possessions = sum(Contested.Possessions * home_player),
-  away_contested_possessions = sum(Contested.Possessions * away_player),
-  home_uncontested_possessions = sum(Uncontested.Possessions * home_player),
-  away_uncontested_possessions = sum(Uncontested.Possessions * away_player),
-  home_contested_marks = sum(Contested.Marks * home_player),
-  away_contested_marks = sum(Contested.Marks * away_player),
-  home_marks_inside_50 = sum(Marks.Inside.50 * home_player),
-  away_marks_inside_50 = sum(Marks.Inside.50 * away_player),
-  home_one_percenters = sum(One.Percenters * home_player),
-  away_one_percenters = sum(One.Percenters * away_player),
-  home_bounces = sum(Bounces * home_player),
-  away_bounces = sum(Bounces * away_player),
-  home_goal_assists = sum(Goal.Assists * home_player),
-  away_goal_assists = sum(Goal.Assists * away_player)
-), by = match_level_fields]
-
-setorder(match_stats_flat_dt, Date, Local.start.time, Home.team)
-
-# verify outputs match:
-identical(as.data.frame(match_stats_flat_tb), as.data.frame(match_stats_flat_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -

    Henceforth, player_stats_* and match_stats_flat_* will be the two datasets we will use predominantly.

    -

    IDs and URLs

    -

    One thing that our match_stats_flat_* dataset is currently lacking is a game ID for use as a primary key. In addition, being able to link directly to AFL tables when talking about a particular game or player would be handy.

    -

    Game ID and URL

    -

    Let’s tackle the game ID by writing some functions to an ID which also conveniently lines up with the way AFL Tables game URLs work (two birds with one stone).

    -
    -
    team_code_map <- c(
-  "Adelaide" = "01",
-  "Adelaide Crows" = "01",
-  "Brisbane Bears" = "02",
-  "Carlton" = "03",
-  "Collingwood" = "04",
-  "Essendon" = "05",
-  "Fitzroy" = "06",
-  "Western Bulldogs" = "07",
-  "Fremantle" = "08",
-  "Geelong" = "09",
-  "Geelong Cats" = "09",
-  "Hawthorn" = "10",
-  "Melbourne" = "11",
-  "North Melbourne" = "12",
-  "Port Adelaide" = "13",
-  "Richmond" = "14",
-  "St Kilda" = "15",
-  "Sydney" = "16",
-  "Sydney Swans" = "16",
-  "University" = "17",
-  "West Coast" = "18",
-  "West Coast Eagles" = "18",
-  "Brisbane Lions" = "19",
-  "Gold Coast" = "20",
-  "Gold Coast Suns" = "20",
-  "Greater Western Sydney" = "21",
-  "GWS Giants" = "21"
-)
-
-# The three functions below are all vectorised for efficiency purposes
-get_team_code <- function(team_name) {
- unname(team_code_map[team_name])
-}
-
-get_game_id <- function(home_team_code, away_team_code, game_date) {
-  # example ID: 161820230624
-  game_date_string <- format(game_date, "%Y%m%d")
-  
-  ifelse(
-    home_team_code > away_team_code, 
-    # the smaller code is always first
-    paste0(away_team_code, home_team_code, game_date_string),
-    paste0(home_team_code, away_team_code, game_date_string)
-    )
-}
-
-get_game_afltables_url <- function(game_id, season) {
-  # example url: https://afltables.com/afl/stats/games/2023/161820230624.html
-  paste0("https://afltables.com/afl/stats/games/", season,"/", game_id, ".html")
-}
    -
    -

    Now let’s use these functions23 to add a primary key to our match_stats_flat_* datasets.

  • 23 Note that as the functions are vectorised, we need not use the slow purrr::map*() or *apply() family of functions to apply them to a column of our tibble and data.table respectively.

    • -
    - -
    -
    -
    -
    match_stats_flat_tb |> 
-  mutate(
-    home_team_code = get_team_code(Home.team),
-    away_team_code = get_team_code(Away.team),
-    game_id = get_game_id(home_team_code, away_team_code, Date),
-    game_afltables_url = get_game_afltables_url(game_id, Season)
-  ) |> 
-  relocate(game_id, .before = Season) |> 
-  arrange(game_id) ->
-  match_stats_flat_tb
    -
    -
    -
    -
    -
    match_stats_flat_dt[, home_team_code := get_team_code(Home.team)]
-match_stats_flat_dt[, away_team_code := get_team_code(Away.team)]
-match_stats_flat_dt[, game_id := get_game_id(home_team_code, away_team_code, Date)]
-match_stats_flat_dt[, game_afltables_url := get_game_afltables_url(game_id, Season)]
-
-setcolorder(match_stats_flat_dt, c("game_id", setdiff(names(match_stats_flat_dt), "game_id")))
-setkey(match_stats_flat_dt, game_id)
-
-# verify outputs match:
-identical(as.data.frame(match_stats_flat_tb), as.data.frame(match_stats_flat_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -

    Player URLs

    -

    In a similar way we can add a player URL to our player_stats_* datasets, we start by creating a mapping table.

    -
    - -
    -
    -
    -
    # non-duplicate URL: https://afltables.com/afl/stats/players/E/Errol_Gulden.html
-# duplicate URL: https://afltables.com/afl/stats/players/J/Josh_Kennedy0.html, https://afltables.com/afl/stats/players/J/Josh_Kennedy1.html
-# for dealing with duplicates, for example Peter Brown (6 of the same name!) seems to have a nonsensical order
-player_stats_tb |> 
-  mutate(full_name = paste(First.name, Surname, sep = "_")) |> 
-  distinct(ID, full_name) |> 
-  group_by(full_name) |> 
-  arrange(ID) |>
-  mutate(
-    instance_number = as.character(cumsum(rep(1L, n())) - 1L),
-    dup_count = n()
-  ) |> 
-  mutate(
-    number_suffix = if_else(dup_count == 1L, "", instance_number),
-    first_letter = str_sub(full_name, 1, 1),
-    player_afltables_url = paste0("https://afltables.com/afl/stats/players/", 
-                                  first_letter, "/", full_name, number_suffix, ".html")
-  ) |> 
-  ungroup() |> 
-  select(ID, player_afltables_url) ->
-  player_url_tb
    -
    -
    -
    -
    -
    player_url_dt <- copy(player_stats_dt)
-
-player_url_dt[, full_name := paste(First.name, Surname, sep = "_")]
-player_url_dt <- unique(player_url_dt, by = c("ID", "full_name"))
-setorder(player_url_dt, ID)
-player_url_dt <- player_url_dt[, `:=`(
-  instance_number = as.character(cumsum(rep(1L, .N)) - 1L),
-  dup_count = .N
-), "full_name"]
-
-player_url_dt[, number_suffix := fifelse((dup_count == 1L), "", instance_number)]
-player_url_dt[, first_letter := str_sub(full_name, 1, 1)]
-player_url_dt[, player_afltables_url := paste0("https://afltables.com/afl/stats/players/", 
-                                     first_letter, "/", full_name, number_suffix, ".html")]
-player_url_dt <- player_url_dt[, .(ID, player_afltables_url)]
-
-# verify outputs match:
-identical(as.data.frame(player_url_tb), as.data.frame(player_url_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -

    Now we can add add the game ID, game URL and player URL to the player_stats_* dataset.

    -
    - -
    -
    -
    -
    player_stats_tb <- as_tibble(player_stats) # copied from above
-
-player_stats_tb |> 
-  mutate(
-    home_team_code = get_team_code(Home.team),
-    away_team_code = get_team_code(Away.team),
-    game_id = get_game_id(home_team_code, away_team_code, Date),
-    player = paste0(First.name, " ", Surname, " (", Playing.for,")")
-  ) |> 
-  left_join(match_stats_flat_tb |> select(game_id, game_afltables_url), by = "game_id") |> 
-  left_join(player_url_tb, by = "ID") |> 
-  relocate(c("game_id", "player", "ID"), .before = Season) |>
-  arrange(game_id, Playing.for, ID) ->
-  player_stats_tb
    -
    -
    -
    -
    -
    player_stats_dt <- as.data.table(player_stats) # copied from above
-
-player_stats_dt[, home_team_code := get_team_code(Home.team)]
-player_stats_dt[, away_team_code := get_team_code(Away.team)]
-player_stats_dt[, game_id := get_game_id(home_team_code, away_team_code, Date)]
-player_stats_dt[, player := paste0(First.name, " ", Surname, " (", Playing.for,")")]
-
-player_stats_dt <- merge(
-  player_stats_dt, match_stats_flat_dt[, c("game_id", "game_afltables_url")], 
-  by = "game_id")
-
-player_stats_dt <- merge(player_stats_dt, player_url_dt, by = "ID")
-
-setcolorder(player_stats_dt, c(c("game_id", "player"), setdiff(names(player_stats_dt), c("game_id", "player"))))
-setkey(player_stats_dt, game_id, Playing.for, ID)
-# verify outputs match:
-identical(as.data.frame(player_stats_tb), as.data.frame(player_stats_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -

    Finding the Infamous Game

    -

    Let’s use these new datasets to perform the simple exercise of obtaining the game ID for the aforementioned Swans versus Eagles game. We can henceforth use this game ID whenever relevant to rank the Swans in the statistical category we investigate.

    -
    -
    (
-  infamous_game_id <- get_game_id(
-    home_team_code = get_team_code("Sydney"),
-    away_team_code = get_team_code("West Coast"),
-    game_date = as.Date("2023-06-24")
-  )
-)
    -
    -
    [1] "161820230624"
    -
    -
    -

    We can then filter the data and present it below in a table below24.

  • 24 note that the code to format the table is omitted.

    • -

    Match Stats

    -
    - -
    -
    -
    -
    match_stats_flat_tb |> 
-  filter(game_id == infamous_game_id)
    -
    -
    -
    -
    -
    match_stats_flat_dt[game_id == infamous_game_id, ]
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    Player Stats

    -
    - -
    -
    -
    -
    player_stats_tb |> 
-  filter(game_id == infamous_game_id)
    -
    -
    -
    -
    -
    player_stats_dt[game_id == infamous_game_id, ]
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    Figuring Out the Answers

    -

    In this section I will provide my working using R for each of the aforementioned questions. Where relevant, I will figure out where the aforementioned infamous game places in the history of the AFL for that particular category.

    -

    The pathways I go down are only one of many permutations of stats you can look at and angles you can approach things from. The code I have written is also probably more thorough and well-presented than how I would typically do it. When I do this type of thing with no intent on publishing it, my data manipulations will generally be far more ad-hoc and expedient (I pay far less attention to reproducibility and consistent naming conventions).

    -

    Highest Scoring Quarter

    -

    As listed above, our first question was:

    -
    -

    What is the record for the highest scoring quarter?

    -
    -
    -

    Note that there is already a page on this topic on AFL Tables, but it is a good one to start with regardless.

    -
    -

    To answer this question, we will begin by creating a reshaped version of the match_stats_flat_* dataset that is structured around quarters.

    -
    - -
    -
    -
    -
    game_level_columns <- c("game_id", "game_afltables_url", "Season", "Round", "Venue", "Home.team", "Away.team", "Home.score", "Away.score")
-
-match_stats_flat_tb |> 
-  select(all_of(game_level_columns), starts_with("HQ"), starts_with("AQ")) |> 
-  pivot_longer(cols = c(starts_with("HQ"), starts_with("AQ")), names_to = "quarter_gb", values_to = "gb_count") |>
-  mutate(
-    quarter = str_extract(quarter_gb, "\\d"),
-    gb_label = if_else(str_detect(quarter_gb, "G$"), "goals", "behinds"),
-    is_home_score = str_detect(quarter_gb, "^H")
-    ) |>
-  pivot_wider(id_cols = all_of(c(game_level_columns, "quarter", "is_home_score")), names_from = gb_label, values_from = gb_count) |>
-  arrange(game_id, is_home_score, quarter) |> 
-  group_by(game_id, is_home_score) |> 
-  mutate(# make quarters incremental
-    goals = c(head(goals, 1), diff(goals)),
-    behinds = c(head(behinds, 1), diff(behinds))
-  ) |> 
-  ungroup() |> 
-  mutate(
-    score = goals * 6 + behinds,
-    team = if_else(is_home_score, Home.team, Away.team),
-    opposition = if_else(!is_home_score, Home.team, Away.team)
-    ) |> 
-  select(-is_home_score) -> quarter_stats_tb
    -
    -
    -
    -
    -
    game_level_columns <- c("game_id", "game_afltables_url", "Season", "Round", "Venue", "Home.team", "Away.team", "Home.score", "Away.score")
-
-quarter_stats_dt <- copy(match_stats_flat_dt)
-quarter_stats_dt <- quarter_stats_dt[, .SD, .SDcols = names(quarter_stats_dt) %like% paste(
-  paste(game_level_columns, collapse = "|"), "^HQ", "^AQ", 
-  sep = "|")]
-quarter_stats_dt <- melt(quarter_stats_dt, id.vars = game_level_columns, variable.name =  "quarter_gb", value.name = "gb_count")
-
-quarter_stats_dt[, quarter := str_extract(quarter_gb, "\\d")]
-quarter_stats_dt[, gb_label := fifelse(str_detect(quarter_gb, "G$"), "goals", "behinds")]
-quarter_stats_dt[, is_home_score := str_detect(quarter_gb, "^H")]
-
-quarter_stats_dt[, quarter_gb:=NULL]
-quarter_stats_dt <- dcast(quarter_stats_dt, ... ~ gb_label, value.var = "gb_count")
-
-# make quarters incremental
-setorder(quarter_stats_dt, game_id, is_home_score, quarter)
-quarter_stats_dt[, goals := c(head(goals, 1), diff(goals)), c("game_id", "is_home_score")]
-quarter_stats_dt[, behinds := c(head(behinds, 1), diff(behinds)), c("game_id", "is_home_score")]
-
-quarter_stats_dt[, score := goals * 6 + behinds]
-quarter_stats_dt[, team := fifelse(is_home_score, Home.team, Away.team)]
-quarter_stats_dt[, opposition := fifelse(!is_home_score, Home.team, Away.team)]
-
-quarter_stats_dt <- quarter_stats_dt[, .SD, .SDcols = c(game_level_columns, c("quarter", "goals", "behinds", "score", "team", "opposition"))]
-
-# verify outputs match:
-identical(as.data.frame(quarter_stats_tb), as.data.frame(quarter_stats_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -

    We will answer this question for each quarter (first, second, third and fourth), as well as overall. This means we we will be repeating the same process five times, so this calls for writing a function. The function will give us the top 5 scoring quarters, as well as ranking for the aforementioned infamous game on the all time list of quarters.

    -
    - -
    -
    -
    -
    get_top_quarter_scores_tb <- function(data, quarter_selection) {
-  data |> 
-    filter(quarter %in% quarter_selection) |>
-    arrange(desc(score)) |> 
-    mutate(rank = seq_along(team)) |> 
-    filter(rank %in% 1:5 | (game_id == infamous_game_id & team == "Sydney")) |> 
-    select(rank, team, opposition, score, quarter, Season, Round, Venue, game_afltables_url, game_id)
-}
    -
    -
    -
    -
    -
    get_top_quarter_scores_dt <- function(data, quarter_selection) {
-  top_quarters_q1_dt <- copy(quarter_stats_dt)
-  top_quarters_q1_dt <- top_quarters_q1_dt[
-    quarter %in% quarter_selection, ]
-  setorder(top_quarters_q1_dt, -score)
-  top_quarters_q1_dt[, rank := seq_along(team)]
-  top_quarters_q1_dt[rank %in% 1:5 | (game_id == infamous_game_id & team == "Sydney"), 
-                     .(rank, team, opposition, score, quarter, Season, Round, Venue, game_afltables_url, game_id)]
-}
    -
    -
    -
    -
    -
    - -
    -

    First Quarter

    -
    - -
    -
    -
    -
    top_quarter_scores_q1_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 1L)
    -
    -
    -
    -
    -
    top_quarter_scores_q1_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 1L)
-# verify outputs match:
-identical(as.data.frame(top_quarter_scores_q1_tb), as.data.frame(top_quarter_scores_q1_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    The record for the highest-scoring first quarter occurred during the bloodbath of an encounter that was the Bombers’ first ever clash with the Gary Ablett Jr.-led Gold Coast Suns in their inaugural season in the AFL. The Bombers came out of the blocks in a flash and mercilessly obliterated the inexperienced Gold Coast side, notching up a blistering 93 point lead at quarter time. Interestingly, the Suns actually managed to win the second quarter as the Bombers appeared to take their foot off the accelerator a little to only win by 139 points when all was said and done.

    - -

    Perhaps the Suns’ lethargy in the first quarter against the Dons can be explained as a hangover25 following on from their first ever win the previous week26. It is exciting to me that this is a game that I can remember watching on the television at the time, and it may have even been the first Gold Coast game I ever watched27. Footy is full of narratives and it is fun to spin one around this particular game (the context and stories make footy stats even more fun).

  • 25 As a club with an abundance of 18 or 19 year old blokes living out of home for the first time, the Suns were known to over-indulge in the Gold Coast party culture in those days.

  • 26 Courtesy of a (missed) shot at goal after the siren from Justin Westhoff.

  • 27 I am glad that I didn’t give up on watching them after that (mainly due to Gary Ablett I will admit) because otherwise I would have missed unbelievable goals like this.

    • -

    Second Quarter

    -
    - -
    -
    -
    -
    top_quarter_scores_q2_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 2L)
    -
    -
    -
    -
    -
    top_quarter_scores_q2_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 2L)
-# verify outputs match:
-identical(as.data.frame(top_quarter_scores_q2_tb), as.data.frame(top_quarter_scores_q2_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    From one teams’ first season, to another’s last. It is quite fitting (although sad) that the highest scoring second quarter was against a floundering (aforementioned) fitzRoy Football Club (to which we owe the ease with which we obtained this data) en-route to a wooden spoon in their final season prior to merging with Brisbane Bears to form the Brisbane Lions.

    -

    As I was not yet born, I do not remember the game, but on the video below, the commentator shrewdly points to a strong wind prevailing towards the Crows’ goal at the beginning of the second quarter which certainly didn’t bode well for the Lions.

    - -

    Third Quarter

    -
    - -
    -
    -
    -
    top_quarter_scores_q3_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 3L)
    -
    -
    -
    -
    -
    top_quarter_scores_q3_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 3L)
-# verify outputs match:
-identical(as.data.frame(top_quarter_scores_q3_tb), as.data.frame(top_quarter_scores_q3_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    The Swans’ third quarter appears in 28th position here, which is the best position it gets.

    -

    Fourth Quarter

    -
    - -
    -
    -
    -
    top_quarter_scores_q4_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 4L)
    -
    -
    -
    -
    -
    top_quarter_scores_q4_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 4L)
-# verify outputs match:
-identical(as.data.frame(top_quarter_scores_q4_tb), as.data.frame(top_quarter_scores_q4_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    Well this was slightly unexpected, the Bloods28 came home like a freight train against the woeful Saints in a game that took place over 100 years ago. It is also the only quarter in AFL history that has notched up a ton. Upon seeing this, given its vintage, I thought that perhaps the story of this game might have been lost to time but the Swans have a most insightful article up on their website about it. The explanation in the article claims that St Kilda were undermanned through a combination of injury and player protest on account of off-field disputes. It is safe to say that the “Bloods” showed them no mercy.

  • 28 Incorrectly labelled here as “Sydney” in the table above because at the time they resided in South Melbourne (they relocated to Sydney in 1982), they were also known as the “Bloods” prior to adopting their current Swans mascot in 1933 due to the number of Western Australians in the side (as a WA boy I couldn’t help mentioning this)

    • -

    All Quarters

    -
    - -
    -
    -
    -
    top_quarter_scores_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 1L:4L)
    -
    -
    -
    -
    -
    top_quarter_scores_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 1L:4L)
-# verify outputs match:
-identical(as.data.frame(top_quarter_scores_tb), as.data.frame(top_quarter_scores_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    In the infamous game, the Swans’ third quarter 29 was the only one that reached the top 100 quarters of all time. The fact that no quarter was even close to the the top indicates that the Swans were very consistent through-out the game. To use a cliche, they put in a consistent four-quarter effort and I suppose the Eagles were consistent too (consistently dismal).

  • 29 i.e. the premiership quarter

    • -

    Most Goal-kickers

    -

    Three of the aforementioned questions concern goal kickers. We can therefore write a function that can generalise our approach like we did for the previous question.

    -

    These questions were:

    -
    -

    What is the record for the most individual goal kickers for a team in a single game?

    -
    -
    -

    What is the record for the most multiple goal kickers for a team in a single game?

    -
    -
    -

    What is the record for the most players kicking five or more goals for a team in a single game (i.e. the most “bags”)?

    -
    -

    The Swans game appeared to have a rather even distribution of goal kickers in the infamous game, so it will be interesting to see where it places on the all time list in this category.

    -
    - -
    -
    -
    -
    get_top_goal_scorers_tb <- function(data, min_goals) {
-data |> 
-  mutate(
-    team = Playing.for,
-    opposition = if_else(team == Home.team, Away.team, Home.team)
-  ) |> 
-  group_by(team, opposition, Season, Round, Venue, game_afltables_url, game_id, Date) |> 
-  summarise(
-    goal_kickers = sum(Goals > min_goals),
-    .groups = "drop"
-  ) |> 
-  arrange(desc(goal_kickers), desc(Date)) |> 
-  mutate(rank = seq_along(game_id)) |> 
-  relocate(rank, .before = "team") |> 
-  relocate(goal_kickers, .before = "Season") |> 
-  filter(rank %in% 1:5|(game_id == infamous_game_id & team == "Sydney")) |>
-  select(-Date)
-}
    -
    -
    -
    -
    -
    get_top_goal_scorers_dt <- function(data, min_goals) {
-  top_goal_scorers_dt <- copy(data)
-  top_goal_scorers_dt[, team := Playing.for]
-  top_goal_scorers_dt[, opposition := fifelse(team == Home.team, Away.team, Home.team)]
-  
-  top_goal_scorers_dt <- top_goal_scorers_dt[,.(goal_kickers = sum(Goals > min_goals)),
-                                             c("team", "opposition", "Season", "Round", "Venue", 
-                                               "game_afltables_url", "game_id", "Date")]
-  setorder(top_goal_scorers_dt, -goal_kickers, -Date)
-  top_goal_scorers_dt[, rank := seq_along(game_id)]
-  
-  
-  top_goal_scorers_dt[rank %in% 1:5|(game_id == infamous_game_id & team == "Sydney"),
-                      .(rank, team, opposition, goal_kickers, Season, Round, Venue, 
-                        game_afltables_url, game_id)]
-}
    -
    -
    -
    -
    -
    - -
    -

    Individual

    -
    - -
    -
    -
    -
    top_goal_scorers_single_tb <- get_top_goal_scorers_tb(player_stats_tb, 0L)
    -
    -
    -
    -
    -
    top_goal_scorers_single_dt <- get_top_goal_scorers_dt(player_stats_dt, 0L)
-# verify outputs match:
-identical(as.data.frame(top_goal_scorers_single_tb), as.data.frame(top_goal_scorers_single_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    The record for most goal kickers is actually tied by multiple teams. The most recent time this happened was in the Bulldogs’ 101 point drubbing of the Eagles last year30. The infamous game is a bit off the pace in 238th but 12 goal-kickers is still double a starting forward line.

  • 30 Yet another example of how poorly the Eagles have performed in 2022 and 2023

    • -

    Multiple

    -
    - -
    -
    -
    -
    top_goal_scorers_multiple_tb <- get_top_goal_scorers_tb(player_stats_tb, 1L)
    -
    -
    -
    -
    -
    top_goal_scorers_multiple_dt <- get_top_goal_scorers_dt(player_stats_dt, 1L)
-# verify outputs match:
-identical(as.data.frame(top_goal_scorers_multiple_tb), as.data.frame(top_goal_scorers_multiple_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    The Swans game actually places equal 7th on the list of all time which is quite a notable result. It is also interesting that it was a similarly one-sided Swans game31 at the SCG that takes outright top spot. In that game (circa 1987) the human highlight reel Warwick Capper led all comers for the Swans with a bag of 6 snags.

  • 31 Full game, article

    • -

    Five or More (Bags)

    -
    - -
    -
    -
    -
    top_goal_scorers_bags_tb <- get_top_goal_scorers_tb(player_stats_tb, 4L)
    -
    -
    -
    -
    -
    top_goal_scorers_bags_dt <- get_top_goal_scorers_dt(player_stats_dt, 4L)
-# verify outputs match:
-identical(as.data.frame(top_goal_scorers_bags_tb), as.data.frame(top_goal_scorers_bags_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    Four bags in one game has happened on two occasions, the most recent of which (in 1991) yet again featured the Fitzroy Lions, who were trounced by 157 points by the Hawks in North Hobart.

    -

    The list of bag-getters in this game makes for interesting reading, all were recognisable names (although one more for his family connections that his own merit). As one might expect, one of the bags was courtesy of Hawthorn spearhead Jason Duntall (6 snags), along with 7 apiece from WA boy Ben Allan32 and the three-time premiership player Darren Jarmon. Rounding out the four was a contribution of 5 snags from Paul Hudson, who is the son of Tasmanian footy legend Peter Hudson (how fitting that this game was played in Tassie) who averaged more than 5 goals a game himself (an incredible feat).

  • 32 Sorry I couldn’t help myself, he was also a Claremont Tiger (up the mighty Tiges)

    • -

    Questions About Questionable Disposal

    -

    Two of the questions concerned clangers and disposal efficiency:

    -
    -

    What is the record for the most clangers in a game?

    -
    -
    -

    What is the record for the worst disposal efficiency in a game?

    -
    -

    These statistics (which we will define below) are more advanced and have only been recorded more recently, so we will therefore have to check which data sources to use and what years they are available for.

    -

    Most Clangers

    -

    A clanger is defined as:

    -
    -

    an absurd or embarrassing blunder.

    -
    -

    Or in more precise football statistics terms:

    -
    -

    An error made by a player resulting in a negative result for his side. Disposal clangers are any kick or handball that directly turns the ball over to the opposition. Frees and 50-metre penalties against, No Pressure Errors, Dropped Marks and Debits are all included in clangers.

    -

    Source: Champion Data.

    -
    -

    Clanger data is available on the AFL Tables data from 1998 onwards, so we will have to make do with only recent memory.

    -
    - -
    -
    -
    -
    player_stats_tb |> 
-  filter(!is.na(Clangers)) |> 
-  group_by(Home.team, Away.team, Season, Round, Venue, game_afltables_url, game_id) |> 
-  summarise(
-    clangers = sum(Clangers),
-    .groups = "drop"
-  ) |> 
-  arrange(desc(clangers), Season, Round) |> 
-  mutate(
-    rank = seq_along(clangers)
-  ) |> 
-  filter(rank %in% 1:5 | game_id == infamous_game_id) |> 
-  select(
-    rank, game_id, Home.team, Away.team, clangers, Season, Round, Venue, game_afltables_url
-  ) -> most_clangers_tb
    -
    -
    -
    -
    -
    most_clangers_dt <- copy(player_stats_dt)
-most_clangers_dt <- most_clangers_dt[!is.na(Clangers),]
-most_clangers_dt <- most_clangers_dt[, .(clangers = sum(Clangers)), c("Home.team", "Away.team", "Season", "Round", "Venue", "game_afltables_url", "game_id")]
-setorder(most_clangers_dt, -clangers, Season, Round)
-most_clangers_dt[,rank := seq_along(clangers)]
-most_clangers_dt <- most_clangers_dt[rank %in% 1:5 | game_id == infamous_game_id,]
-most_clangers_dt <- most_clangers_dt[, .(rank, game_id, Home.team, Away.team, clangers, Season, Round, Venue, game_afltables_url)]
-# verify outputs match:
-identical(as.data.table(most_clangers_tb), as.data.table(most_clangers_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    A lot of the games in the top 5 are from very recent years, probably highlighting the more recent trend in teams rolling the dice more with possession (high risk, high reward), as popularised by Richmond and adopted to great success of late by the Magpies. Having spot-checked a few examples, there is also a bit of a pattern of wet weather impacting these games it would seem.

    -

    Also notable in the top 5 is one of three games played in Shanghai as part of the AFL’s attempt at entering into the Chinese market between 2017 and 2019. While there was some rain about, one might presume from this that the Suns and Port didn’t put on a particularly impressive display of our game on that occasion, either that or they were putting on an entertaining show with plenty of high-risk, high-reward plays. The video highlights appear to be reasonably exciting, so I am going to assume the latter.

    -

    Worst Disposal Efficiency

    -

    Disposal efficiency is

    -
    -

    the percentage of disposals that are effective.33

  • -
    • -
    -

    Where effective disposal is any of:

    -
    -
      -
    • Effective handball: a handball to a teammate that hits the intended target.
      • -
    • Effective Short Kick: A kick of less than 40 metres that results in the intended target retaining possession. Does not include kicks that are spoiled by the opposition.
      • -
    • Effective Long Kick: A kick of more than 40 metres to a 50/50 contest or better for the team.34 -
      • -
    -
  • -
    • -

    Note how the distance of the disposal is an element of how lenient the definition of “effective” is.

    -

    This statistic requires our first (and only) use of the Fryzigg data, as disposal efficiency is not present on the AFL Tables data. While the Fryzigg data has the full history of the AFL, disposal efficiency is missing for seasons prior to 2012 onwards. We will therefore have to make do with answering this question only for about the past decade.

    -
    - -
    -
    -
    -
    player_stats_fryzigg_tb |> 
-  filter(!is.na(disposal_efficiency_percentage)) |> 
-  mutate(
-    home_team_code = get_team_code(match_home_team),
-    away_team_code = get_team_code(match_away_team),
-    season = str_sub(match_date, 1, 4),
-    afl_tables_game_id = get_game_id(home_team_code, away_team_code, as.Date(match_date)),
-    afl_tables_url = get_game_afltables_url(afl_tables_game_id, season)
-  ) |>
-  group_by(afl_tables_game_id, match_home_team, match_away_team, venue_name, season, match_round, afl_tables_url) |> 
-  summarise(
-    disposal_efficiency_game = sum(disposal_efficiency_percentage * disposals) / sum(disposals) / 100,
-    .groups = "drop"
-  ) |> 
-  arrange(disposal_efficiency_game) |> 
-  mutate(
-    rank = seq_along(disposal_efficiency_game)
-  ) |> 
-  filter(rank %in% 1:5 | afl_tables_game_id == infamous_game_id) |> 
-  select(
-    rank, afl_tables_game_id, match_home_team, match_away_team, disposal_efficiency_game, season, match_round, venue_name, afl_tables_url
-  ) -> worst_disposal_efficiency_games_tb
    -
    -
    -
    -
    -
    worst_disposal_efficiency_games_dt <- copy(player_stats_fryzigg_dt)
-worst_disposal_efficiency_games_dt <- worst_disposal_efficiency_games_dt[!is.na(disposal_efficiency_percentage), ]
-worst_disposal_efficiency_games_dt[, home_team_code := get_team_code(match_home_team)]
-worst_disposal_efficiency_games_dt[, away_team_code := get_team_code(match_away_team)]
-worst_disposal_efficiency_games_dt[, season := str_sub(match_date, 1, 4)]
-worst_disposal_efficiency_games_dt[, afl_tables_game_id := get_game_id(home_team_code, away_team_code, as.Date(match_date))]
-worst_disposal_efficiency_games_dt[, afl_tables_url := get_game_afltables_url(afl_tables_game_id, season)]
-
-worst_disposal_efficiency_games_dt <- worst_disposal_efficiency_games_dt[,
-                                   .(disposal_efficiency_game = sum(disposal_efficiency_percentage * disposals) / sum(disposals) / 100),
-                                   c("afl_tables_game_id", "match_home_team", "match_away_team", "venue_name", "season", "match_round", "afl_tables_url")
-                                   ]
-
-setorder(worst_disposal_efficiency_games_dt, disposal_efficiency_game)
-worst_disposal_efficiency_games_dt[, rank := seq_along(disposal_efficiency_game)]
-worst_disposal_efficiency_games_dt <- worst_disposal_efficiency_games_dt[rank %in% 1:5 | afl_tables_game_id == infamous_game_id,]
-worst_disposal_efficiency_games_dt <- worst_disposal_efficiency_games_dt[, .(rank, afl_tables_game_id, match_home_team, match_away_team, disposal_efficiency_game, season, match_round, venue_name, afl_tables_url)]
-
-# verify outputs match:
-identical(as.data.table(worst_disposal_efficiency_games_tb), as.data.table(worst_disposal_efficiency_games_dt))
    -
    -
    [1] TRUE
    -
    -
    -
    -
    -
    -
    -
    - -
    -
    - -
    -
    -

    The only game with less than 50% disposal efficiency was played in torrid conditions up in Cairns. Looking at the video highlights, the players were running through puddles the whole game. I have however seen equal or worse conditions in the past, so it is somewhat curious that this was the worst by such a margin. For reference, Gold Coast were very poor that year, coming second last but the Roos came in a respectable ninth position (only one win and percentage outside the top 8), this also points to them probably winning this game if has been played in more favourable conditions, but they still would have missed out on finals due to the mammoth percentage of the Cats that year. The “cleanest” player on the day was Jesse Joyce, whose 8 touches came at 75% efficiency (however it was a rather low sample size).

    -

    Further disjointed musings:

    -
      -
    • Seeing a game in 2018 is also a fun reminder of the last time the Eagles won a premiership, which feels a long way off given the current predicament the club is in, in spite of their recent win against the similarly languishing35 Roos last Sunday.
      • -
    -

  • 35 But far more optimistic due to a combination of Clarko (he returns from his hiatus this week) and promising talent on their list such as Harry Sheezel

      • -

    • In the 20th century, the use of suburban grounds where the quality of the surface was subpar I am sure led to far more games with lower disposal efficiency than this (muddy fields were far more common in those days).

      • -

    • We can’t entirely blame the players, given the conditions. Anyone who has kicked a footy around in the wet will know how much heavier and slipperier than usual it can get (it is often described as being like a bar of soap). By looking through old highlights packages of the top several games in this metric, all of them appear to have been impacted significantly by weather conditions.

      • -

    • The Fryzigg data actually has weather conditions as a field on it but it appears to be somewhat unreliable, when cross referencing the games with match reports and highlights, some of the “sunny” games turned out to be played in torrential rain.

      • -

    • I also checked which players have the highest career kicking efficiency and it appears to be mostly defenders who probably inflate their numbers by getting involved in switches of play and chipping the ball around the back line. So we have to take this kind of metric with a grain of salt, there is a certain difficulty level with executing certain types of disposal (e.g. a kick inside 50) that it does not fully capture.

      • -

    Youngest Norm Smith Medalist

    -

    Our question regarding Norm Smith medallists from above reads:

    -
    -

    Who was the youngest player to win a Norm Smith Medal?

    -
    -
    -
    -
    - -
    -
    -Background on the Norm Smith Medal -
    -
    -
    -
      -

    • The Norm Smith Medal is awarded to the player who is adjudged best on ground in the AFL grand final.

      • -

    • The award is named after legendary Melbourne full forward of the 1940’s and coach of the 1950’s and 1960’s, Norm Smith. In his decorated career, he won a total of 10 premierships, 4 as a player, 6 as coach and all for the Melbourne football club (given Melbourne have only won 13 in their history, quite a feat). At the back end of his playing career, he spent two years as captain-coach (yes that was a thing at the time) of the Fitzroy football club (here they pop up again).

      • -

    • The Norm Smith medal is usually given to a player on the winning team but very occasionally, players have managed to win the award in a losing side, the last time being 4 out of 45 times and the last time was Eagles (and Carlton) superstar Chris Judd in 2005.

      • -

    • The Norm Smith Medal was first instituted in 1979. Prior to this, there was no official award given, however the media and fans of the day had their opinions of who the best on ground was in prior grand finals. While this article lists some “unofficial” best on ground performances in grand finals prior to 1979, I will stick with the official list. As a Western Australian, I would have no qualms with discarding the older, exclusively Victorian seasons particularly as this data is of dubious reliability.

      • -
    -
    -
    -

    As previously mentioned, Norm Smith Medal data is not available on fitzRoy, so we will have to scrape it with some of our own bespoke code36. The AFL website conveniently has a nice table, listing all the winners since the award began in 1979. We will supplement this with data from fitzRoy to figure out the level of experience of each player.

  • 36 This illustrates the fact that sometimes you need to stray outside of fitzRoy but it gives most of the footy data you could ever want.

    • -
    -
    -
    - -
    -
    -No data.table code -
    -
    -
    -

    While all the other code has thus far been written in both tidyverse and data.table, I decided to leave it for this one as it was rather intricate and painful to perform the same process twice.

    -
    -
    -
    -
    norm_smith_url <- "https://www.afl.com.au/stats/leaders-awards/norm-smith-medal"
-norm_smith_html <- read_html(norm_smith_url)
-
-norm_smith_html |> 
-  html_table(header = TRUE) |> 
-  _[[1]] |> 
-  mutate( #manually adjust to help mapping
-    Club = case_when(
-      Club == "Geelong Cats" ~ "Geelong",
-      Club == "West Coast Eagles" ~ "West Coast",
-      Club == "Sydney Swans" ~ "Sydney",
-      TRUE ~ Club
-    ),
-    Player = case_when(
-      Player == "Billy Duckworth" ~ "Bill Duckworth",
-      Player == "Ryan O'Keefe" ~ "Ryan OKeefe",
-      TRUE ~ Player 
-    ),
-    Year = as.integer(str_sub(Year, 1, 4))
-  ) -> norm_smith_tb
-
-# get the date of their first game
-player_stats_tb |> 
-  group_by(
-    player_afltables_url, Playing.for
-  ) |> 
-  summarise(
-    first_game_date = min(Date),
-    .groups = "drop"
-  ) -> more_player_details
-
-# get games played to date
-player_stats_tb |> 
-  group_by(ID) |> 
-  arrange(Date) |> 
-  mutate(
-    games_played_to_date = seq_along(ID)
-  ) |> 
-  ungroup() -> 
-  player_stats_tb_games_played
-
-# get grand final information
-player_stats_tb_games_played |>
-  filter(
-    Round == "GF",
-    Season >= 1979
-  ) |>
-  mutate(
-    player_name = paste(First.name, Surname),
-    on_winning_team = (Home.team == Playing.for &  Home.score > Away.score) | (Away.team == Playing.for &  Home.score < Away.score)
-  ) |> 
-  select(ID, player_name, Playing.for, game_afltables_url, player_afltables_url, grand_final_season = Season, grand_final_date = Date, games_played_to_date, on_winning_team) ->
-  grand_final_tb
-
-grand_final_tb |> 
-  select(grand_final_date) |>
-  distinct() |> 
-  arrange(desc(grand_final_date)) |> 
-  pull(grand_final_date) ->
-  grand_final_dates
-  
-player_details_tb |> 
-  mutate(
-    first_year = str_sub(Seasons, 1, 4)
-    ) -> 
-  player_details_tb_joinable
-
-
-norm_smith_tb |> 
-  mutate(Date = grand_final_dates) |> 
-  left_join(
-    grand_final_tb, by = c("Player" = "player_name", "Club" = "Playing.for", "Date" = "grand_final_date") 
-  ) |> 
-  left_join(
-    more_player_details, by = c("player_afltables_url", "Club" = "Playing.for")
-  ) |> 
-  mutate(
-    first_year = format(first_game_date, "%Y")
-  ) |> 
-  left_join(
-    player_details_tb_joinable, by = c("Player", "Club" = "Team", "first_year")
-  ) |>
-  mutate(
-    debut_age_years = as.integer(str_sub(Debut, 1, 2)),
-    debut_age_days = as.integer(str_remove_all(Debut, ".*y |d")),
-    date_of_birth = first_game_date - years(debut_age_years) - days(debut_age_days),
-    age_at_grand_final = as.period(interval(start = date_of_birth, end = Date)),
-    age_at_grand_final_seconds = as.period(interval(start = date_of_birth, end = Date))
-  ) |>
-  arrange(age_at_grand_final ) |>
-  select(
-    Player, Club, Year, on_winning_team, games_played_to_date, age_at_grand_final, age_at_grand_final_seconds, player_afltables_url, game_afltables_url) -> norm_smith_youngest_tb
    -
    -
    -
    - -
    -
    - -
    -
    -

    The youngest player on the list is the inaugural winner, Wayne Harmes, who was only 19 years of age when he won the prestigious award. He is known for a legendary moment during this match, where, towards the end of the fourth quarter, he ran down his own (errant) kick by sliding along the ground and tapping the ball to keep it in play, sending it into the path of his team mate Ken Sheldon who ran into the open goal. The goal ended up being a decisive one as the Blues came out as victors by only 5 points.

    - -

    The most inexperienced in terms of games played was Maurice Rioli (father of Maurice Jr. who is currently plying his trade at his old man’s club), member of the famous Rioli family of the Tiwi Islands which has uncannily produced a plethora of great footballers and premiership players. He was the first (and arguably the greatest) Rioli to ever play in the AFL/VFL. One caveat is that while at the time he had only played 21 VFL games, he was 24 years of age and had previously played 6 years of WAFL footy37 for South Fremantle, so he wasn’t your typical 21 game player, he was really in his prime.

  • 37 At this time (prior to a national competition), WAFL football (as well as the SANFL in South Australia) could be viewed as being at a similar level to the VFL (although VFL did benefit from having the larger population in Victoria as a talent pool). While these days, the WAFL is the tier below the AFL (like the English Championship is the to Premier League), at that time, it could instead be viewed as a competition that was the best within its own region (like Serie A is to La Liga).

    • -

    Epilogue

    -

    Closing Remarks

    -

    To mention one last record, the margin of 171 in the infamous game is actually the equal 4th highest winning margin in a AFL/VFL game. Interestingly, the all-time record in this category comes full circle, being a game between the Fitzroy Lions and the Melbourne Demons back in 1979. Fittingly, the victor of this game, was our friends (for whom we owe the greatest gratitude for helping us import data), the mighty fitzRoy footy club by a whopping 190 points. So while they had their trials and tribulations as a club (some of which we have covered in this post), it is nice to finish with them on a high note.

    -

    Interestingly, the aforementioned infamous game isn’t the record-holder (or even in the top 5) for any of our questions38 but it is only one of 31 games where a team has scored 200 points or more which is notable enough I think, particularly given I had the (mis-)fortune of witnessing such a rare event in the flesh. Perhaps we could dig deeper to find a record it holds (every game is uniquely remarkable in some way if you look hard enough) but I somehow find more satisfaction in it being a thought-provoking enough game to coax these questions out of us without it ever being the answer.

  • 38 the closest it came was in the most multiple goal kickers category at equal 7th

    • -

    Notable AFL Stats Figures

    -

    I will conclude by listing some people who are doing interesting work with AFL stats (often with heavy use of R and the fitzRoy package) to provide further motivation:

    -
      -

    • fitzRoy: as outlined in this article, this R package is the de facto way of sourcing AFL data.

      • -

    • Useless AFL Stats: a Facebook page which shares always interesting, sometimes abstract and often amusing AFL stats content. Liam Crow is their data scientist and posts some interesting content of his own on his website: https://www.crowdatascience.com.

      • -

    • squiggle.com.au: displays a bunch of people’s data-driven tipping models, many of which have websites and social media accounts where they do AFL stats.

      • -

    • Jaiden Popowski: is prominent in the AFL Fantasy community for the interesting data-driven analysis he produces.

      • -

    • DFS Australia: has some great data-driven tools that provide insight on advanced stats commonly used in AFL Fantasy.

      • -

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b/_site_rendered/blog/2023/responses/index.html deleted file mode 100644 index 658f4cf..0000000 --- a/_site_rendered/blog/2023/responses/index.html +++ /dev/null @@ -1,1073 +0,0 @@ - - - - - - - - - - - -Tim Gummer - Responses to ‘blogging.txt’ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

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    Responses to ‘blogging.txt’

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    This is a response to a rather lengthy feedback document I have received.

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    Tim Gummer

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    Sunday, 13 August 2023

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    -General Note -
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    Thanks for your detailed feedback on my article. I appreciate the time and effort you put into it and I have addressed a number of your points.

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    The general theme (with some exceptions) below is that I typically have fixed up spelling, grammar and punctuation errors but have left what I would (subjectively) describe as “intentional design choices” as they are.

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    blogging.txt

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    brought to you by: https://ianwilliamcraig.bandcamp.com/album/a-forgetting-place

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    Duly noted will give it a listen

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    blog page

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    do not write “welcome to my blog” on your blog

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    Got rid of it.

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    verbose? hardly

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    It’s all relative isn’t it? Business writing (which is what most of the audience are used to) is not like this.

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    generalities

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    toggling reader mode (on desktop) simply collapses (and enables the ability to expand/collapse) the contents tab on the left. if it were to flatten formatting and widen the bounding box to use more screen real estate (as reader modes typically do) as it stands the feature is pointless and likely a stock bit of a package added as a “why not”

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    Yeah I think its a bit pointless too, I was just playing around with all the options I could include. Removed.

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    comments section is both not on the contents tab and requires a sign in from a different website, though likely one your readership is likely to have. this is a recipe for 0 feedback. i would have liked to post this entire text document publically and anonymously, and was denied this pleasure. rectify this.

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    Add the comments section to the table of contents. Have to use some sort of login as this is a static site (no backend sever/databases are possible)

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    text used for hyperlinks is not indexed in the search bar (search “boffins” to check this), neither is text in footnotes (search “gadget”)

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    Can’t do much about this, I too would like my footnotes to show up because such words are indeed fun but alas.

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    conversational tone taken throughout has divested your good sense on where to place commas, this will make up the bulk of adjustments. writing style leaves something to be desired but will endeavour to avoid correcting this, we know you have your ways. most of the comma-based corrections will place the comma inside the example text, while wording corrections will explain their placement outside the quotation to preserve easy ctrl-f-ing

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    • Love a conversational tone. It is what a lot of people have remarked that they liked about it.

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    • However the placement of commas is important (I do it by guessing mostly).

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    • I think the writing style doesn’t leave “something to be desired”, it is optimally desirable for me. But I would be open to specific examples where you think it could be improved, there is no need to refrain.

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    though this article has been out for a couple of weeks, it’d be good if you could implement at least some of these changes while it is the only one present on your website. unfortunately, you only get one chance at a first impression, and that time is long past. judging by the views on the BT clip you shared, this article was read (or shared with) by about 10 people, 11 including me. i believe greater readership is possible.

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    More viewers than this according to analytics, the YouTube clicks aren’t the best measure because most people wouldn’t bother to click on them.

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    article proper

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    adjust the tone of the foreword marked “apologies for the delay” from apologetic to those who you have promised this work, to informing/warning the prospective reader of your particular idiosyncracies (if it is to be preserved at all). starting your first ever post with an apology for (not) writing it (well enough) is rarely a winning strategy. easiest way to do this is simply remove the heading and first two lines and simply call this a mission statement or reflection or examen or whatever you like. perhaps place it at the end of the article too.

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    I previously had it later on but it felt like it killed the flow of the article. Perhaps I can add it to the end somewhere but it might be a bit weird.

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    “I often have all the ideas in my head, but when it comes to putting them into nice, publishable words, it becomes a bit of a slog.” add comma + becomes. consider rewriting this. “nice, publishable words” is good but should be slotted into a better sentence

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    Added the comma (I must admit I have no idea when a comma should be added before a ‘but’). However, I have not rewritten it.

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    “I commend anyone who actually reads the whole thing, but hopefully it’s also possible to jump around and only read the parts that interest you in particular using the table of contents.” added comma + it’s (“it’s” is short for “it is” whereas “its” is possessive, think about it in terms of the words “he’s” vs. “his” rather than the proper nouns that cause this confusion (“Tim’s” is not short for “Tim is”))

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    Amended (punctuation is not my friend).

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    “1 As a Western Australian this is how I define it (along with the majority of Australia) but I am aware that this term is reserved for rugby league in New South Wales and Queensland” footnotes in articles by convention are short and to the point and are typically used for references, if you have much to say it ought to be in the main body of the article or removed entirely. amend this for brevity and more earnest cruelty for easterners.

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    The verbose footnotes are a key feature of the style I am going for this article. Call me a maverick if you like but this is a convention I simply refuse to conform to!

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    ““the most data rich sport on Earth”2,” should be a hyperlink

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    I think I’ll stick with the footnote but I will admit there is some inconsistency with how I approach referring to external sources. Going back to your previous note I would have though this would be a more appropriate use of a footnote than my other uses anyway.

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    “But what are us plebeians meant to do, bereft of such luxuries you might ask?” why is this quoted? remove the quotation formatting or “you might ask” from the end of this

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    Placed the “you might” ask outside of the quotes.

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    “The more savvy among us may find answers to slightly more edifying questions by performing pro gamer moves such as:” end with a colon or emdash (lol) to avoid colonspam, also too many qualifiers in one sentence, remove either “may” or “slightly”, what this article needs is a strong leader

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    Isn’t an emdash used as a substitute for brackets —like so—? I’ve chucked a colon in there.

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    Nice peep show reference.

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    ““What is the most disposals Zac Dawson had in a game”7;” text within quotation marks should start capitalised, and added an s to “disposals”

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    Thanks, fixed.

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    ““what is the record for the longest distance run in a game”.8” same as previous, also footnote should be hyperlinked for parity with previous, if possible. add a full stop too.

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    Fixed the capitalisation, I can’t hyperlink this one unfortunately but have attached a screenshot you can hover over and see.

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    “but some questions will still go unanswered.” this should be a new sentence, reading something like “Even so, the most complex questions will still go unanswered.”

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    I like this, thanks (I worded it slightly differently but really like the “even so,”)

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    would like to see some text early on framing the article more directly attempting to place this outlier of a game into the context of the full history of afl stats. from reading the whole thing this is obvious but it would be good to have that formalised early on, as well as the term “infamous game” used throughout to refer to the syd vs. wce game. add this in either the question list or concrete example sections

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    This is a good point but at this point I think it probably wouldn’t be worth rewriting. However, I will consider this as a general principal for future reference.

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    “However, if you are a gadget-type operator9 like myself,” style guides will tell you to never start a sentence with “however”, these style guides are irrelevant nonsense. you do need a comma though

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    Thanks! This is actually very encouraging.

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    Incidentally where should however be used if not at the beginning of a sentence?

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    “9 My footy tipping username is Gadget-type Operator and I often use other BT quotes for my username on other (even non-footy-related) accounts” hyperlinked the same video in both BT referencing footnotes

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    I put other inside the hyperlink to emphasise that I was linking to other quotes that were not that one.

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    “There are, of course, a multitude of tools and approaches to this, but in this post, I will be using R (my preferred programming language).” commas, for flavour

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    Sure, I’ll go with that. But I also thought you hated flavour!

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    “Target Audience Unclear” you said it fella. this section is quoted erroneously, and should probably should be put in place of/be incorporated into the “apologies for the delay” section

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    Removed the quotes but not going to both moving it to the top. To be honest I kind of use quotes in some places purely because I like the look of them.

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    “If we also consider that my usual footy-going companion (Saroop) and I are both actuaries by trade, it is safe to say that footy stats questions were flying left, right and centre on that gloomy (but not because of the weather) Saturday night at the SCG. The questions we posed did not just vanish into the aether either, I (with the idea of writing this article in mind) decided to record the more interesting (and doable) questions” some stylistic and readability suggestions - remove “if we also consider that” and replace with “as”, add “as pictured” or “pictured, right” to (Saroop), add an oxford comma to “left, right, and centre”, remove “it is safe to say that” and replace with “the”, replace “but not because of” with “though not due to”, remove the brackets around (with the idea of writing…) and add a comma beforehand instead, good usage of the archaic form of “aether”, no change

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    Are you a fan of the Oxford comma? I did find this sentence a bit difficult to write and rewrote it a few times and was never quite happy with it. Have tried to implement what you have said as best I can. Although I like (and kind of miss) “if we also consider”.

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    “Disclaimer on the asterisk” section entirely defeats the point of an asterisk, place the explanation in the side panel with the footnotes (significantly shortened), or it its current position (slightly shortened), whatever you choose to do, the line “I have put an asterisk next to…” must be removed.

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    I initially adopted this approach but as it requires a more detailed explanation involving bullet points (which I have discovered don’t work well with footnotes), I went for a callout box instead.

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    “The first step in analysing AFL data is obtaining the data (the so-called”collection” phase). Our first thought…” repetition of the word “first” here is inadvisable, try “Before any analysis can take place, we must obtain the data we wish to work with” etc. etc. as you have begun the technical phase of the article you have taken on the tone of a tutorial rather than a conversation as previously, perhaps unconsiously, as if you expect the prospective reader to follow along. this is fine but should be done carefully and consistently, have a reread of these sections yourself to ensure this tone is maintained throughout sections where it ought to (we and our instead of i and my for example)

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    Yeah I think I did slip into a bit of a change of tone when I stated talking about technical things but I don’t really want to change it at this point.

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    “10 It is also (regrettably) the place of my birth but as a WA boy I don’t like to talk about the fact that my parents happened to be in Melbourne when I was born.” weird footnote just get rid of it

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    Nah keeping it.

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    would like to note that i was the 1000th view on the fitzroy lions anthem video

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    Nice, did you comment about it like people commenting “first” on YouTube videos.

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    “fitzRoy R package” add a hyperlink to the documentation to the first usage of this and include the author/group’s name in that line

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    Yeah I like it, changed.

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    “fitzRoy provides access to a number of footy data sources11…” could also be a hyperlink

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    Leaving this one I think its fine.

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    “12 Centre bounce attendances (CBAs) are a commonly-used metrics in AFL fantasy, coaches often look at tools such as this one to help with researching their trades.” remove s from “metrics”, change “coaches” to more generic terminology like “participants” (not participants specifically, that’s rubbish) or add the prefix “fantasy” to ensure such people are not confused with real actual coaches, no, i don’t care that the word before the comma is “fantasy”, you’re ostensibly writing this for data autists, footy fans or both, and only the both group will know implicitly what you mean. best rule of article writing is to assume your audience is retarded while constantly reassuring them that they’re hugely intelligent for being able to comprehend what you’re saying, they’ll never notice the condescension

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    Thanks! Fixed these.

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    “Data Sources Table” - stick with me here:

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    clicking a column to sort the table twice should return the table to its original, unsorted state. currently there is no way to do this other than to refresh the page. paradoxically, the table is sorted in what appears to be a random order (almost certainly the order in which the data was entered into the table) and should instead be organised by one of the metrics of the columns by default (probably the data sources alphabetically). the first of these doesn’t actually matter and just annoys me, so implementing just the second should be enough

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    Yeah can’t do much about the double click thing as it is just the library I was using. However it is logical to start it in alphabetical order so I have done so.

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    when expanding the rows in the data source column, an extra row expands, granting further detail on what data the fitzRoy package calls. my question is, what is the “unqiue” column? why does it ruin the symmetry and cleanliness of this otherwise lovely table? the addition of a thick, ugly slide bar to 2 out of 5 rows is not worth the additional links, which could easily be footnotes or ommitted? why is “unique” misspelt?

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    Yeah I agree, I thought about changing it when I saw it but just wanted to get the article out (I wrote it out of order and that was one of the last bits I did).

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    Unique is misspelt because I can’t spell or type properly.

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    Also thanks for calling my table “otherwise lovely”, I’m blushing.

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    row “Squiggle”, column “Speed of Fetch” rollover pop-up text: “indended to be slow” - was this indendional?

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    Nope, thanks for the creative way of pointing out a typo.

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    add some commas to the rollover pop-up text of the “AFL Tables” and “Footywire” rows in the “Level of Detail” column

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    Not really sure where I would add these commas.

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    “When sourcing data from fitzRoy, it is important to follow good data collection14 etiquette…” another hyperlink

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    leaving this as a footnote

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    opportunity

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    “…I use readRDS().” put this in brackets, or explain it more in a footnote (why? what is it? why should i care?), or get rid of it. probably the first one. also it’s a hyperlink, but isn’t orange? more on that later

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    Have re-written the sentence a bit, it didn’t need brackets, it was just poorly worded (grammatically).

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    R users would know what it is and why they should care.

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    It is not orange because it is formatted as it is generated by a feature that automatically links functions (if formatted as code) to their documentation but in some cases I link them elsewhere if I am not happy with this, I might be able to change that behaviour but it would require fiddling with my custom CSS some more and for now I think it’s fine.

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    “16 Note that I have not written a base R dataframes version because I can see arguments for using both tidyverse and data.table but base R data.frames will probably cause more pain than they are worth (there is a reason that tidyverse and data.table exist)” added a comma, while this is already an unwieldy footnote, you have alluded to a third, inferior method to achieve your goals without explaining how it is inferior. should make it snappier or remove it, could change this sentence to something like “16 could also write this as a base r dataframes version, but trust me, it’s not worth it”

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    Where is the comma?

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    Again R users would understand what I was talking about (it will make the code less efficient and more verbose and clunky).

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    more general advice than specific but there’s a lot of “I have” and “I will” from this point forward. could shift some words around to feel less diaristic and repetitive

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    Indeed I was kind of almost telling myself that I would write this or that later when I wrote those parts. I see the point but I’ll keep it as it is because its more effort than its worth to change.

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    “However this is add the _tb suffix18 to distinguish it from the data.table code.” i do not believe you had a proofreader besides me

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    Don’t be snarky, its very easy to glaze over things like that. I assure you, there were a lot of things I fixed before it reached your eyes!

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    “The so-called pipe operator (%> %) of the magrittr package has been a core staple of tidyverse since its inception, but since the R core team introduced the so-called native pipe (|> ) to base R (in version 4.120), this has led to a split in adoption.” added comma

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    Thanks.

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    “20 another cool thing introduced in this version of R was so-called function shorthand (()), see help(”function”) for more details” hyperlink in this footnote is not orange. need more formatting consistency. if you’d like to check your hyperlinks in future, easy way to do this is create a blank bookmark in chrome and paste this bit of javascript in as the URL (or write your own, since you can do that): javascript:(function(){for(i=0;i<document.links.length;i++)document.links[i].style.backgroundColor='#ffff00';})();

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    I have mentioned this before, I don’t mind this inconsistency, it makes sense to me.

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    But that is pretty cool, how did you learn Javascript? That isn’t a very optimal way of doing it I don’t think and it also would interact weirdly with dark mode, I think just using CSS would be cleaner.

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    I kind of want to play around with the code though, although I often get frustrated whenever I have to add JS to something, I never managed to get it to run properly on the first or even the 10th attempt half the time.

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    “Note that the common RStudio shortcut, Ctrl+Shift+M can be changed from the magrittr pipe (%> %), which is still the default, to the native pipe (|> ).” why is this quoted?

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    Probably didn’t need to be.

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    the “webscraping package” section could be put with the fitzRoy section, no reason to bury the lede, ’specially since you’ve got a hyperlink back to that section in this one anyway

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    Important to distinguish this from the fitzRoy package as it is a different way of obtaining data.

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    you like “note that” rather a lot. not a criticism, merely an observation

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    What are some good alternative phrases?

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    latter sections are largely above my head to critique and also significantly more confidently written as you’re finally in what must be familiar territory. there will be large gaps between issues from this point on.

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    Oh how nice, I get a bit of a breather.

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    in the “flattening the data” section, the second tabbed portion with tabs marked “tidyverse” and “data.table” there’s a captioning line below both code outputs marked “[1] TRUE” what is this and what does it mean

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    Its just checking that the results are consistent (TRUE means they are). R users should understand this and I have commented my code appropriately (it is quite deliberate and not an error).

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    “Now lets use these functions23 to add a primary key to our match_stats_flat_* datasets.” let’s vs. lets

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    Thanks.

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    the tabs in the “player URLs” section have the same problem as the “flattening the data” section’s tabs, but only in the data.table tab this time? must surely be an error. henceforth, errors of this type will be marked with “1TRUE”

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    Not an error, as I stated above. Henceforth I will mark my response to these erroneously labelled error with “output verification non-error”.

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    the tabs detailing the code for filtering the match stats data should be under the subheading of match stats, mirroring the player stats section. consistency!

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    Ahh thank you, fixed!

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    in the “match stats” and “player stats” sections, the outputted tables are horrific to behold. look at those sliders? the player stats one can barely be displayed and needs TEN (10) numerically notarised pages, each displaying five of forty six rows? the unedited variable names for column labels? bursting at the seams they are. these appear automatically generated and really should not be tables at all. though i understand the wish to avoid tabspam, it would be advisable to put them in the spreadsheet-esque format and hide the output in tabs as you did earlier in the document for readability’s sake at the very least

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    Hmmm interesting idea, I think I will leave it as is. The point is to illustrate what data is available, not to present it nicely so its meant to have those kinds of titles. I think it sufficiently serves the purpose of showing you what is available.

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    “Not that there is already a page on this topic on AFL Tables, but it is a good one to start with regardless.” “Note”, not “Not”. also it was very kind of you to avoid “irregardless”

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    Thanks, fixed!

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    You know I haven’t used “irregardless” in like 5 years right?

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    you probably don’t need to hyperlink back to the questions every time you mention them, wikipedia only does it for the first usage so why shouldn’t you

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    Because I don’t like the fact that wikipedia does that, I want to be able to go back to it at any point in the article.

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    another bit of general advice that will need fixing in almost all cases, table column headings are frequently too small to display their labels pleasantly, good example is every usage of “opposition” in a table has just the “n” on a new line. very nasty. additionally table headings are wrapped to either the left or right of their bounding boxes, appearing to be entirely at random. tables need to be individually wrangled with for aesthetics whenever they are used, since aesthetics is readability and readability is everything. good reason not to use them

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    Yeah I agree it isn’t ideal, I have fixed the opposition one, but more finessing than this feels like its more than its worth for me (it is a rather manual process).. The alignment is perfectly logical, numerical data is right aligned and text data is left aligned (as they both should be respectively).

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    Overall I find the tables quite readable but maybe that’s just me.

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    “highest scoring quarter” section, first tabs 1TRUE

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    Output verification non-error.

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    “first quarter” section, 1TRUE

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    Output verification non-error.

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    “The record for the highest-scoring first quarter occurred during the bloodbath of an encounter that was the Bombers’ first ever clash with the Gary Ablett Junior-led Gold Coast Suns in their inaugural season in the AFL.” “Junior” to “Jr.”, i understand the temptation to not double up on punctuation but really the full word junior should never be written. could add a comma to taste

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    Yeah makes sense, fixed.

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    Not sure where the comma ought to be so left that one be.

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    “…notching up a 93 point lead at quarter time.” want to see an adjective here, like “blistering”

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    I like it, stole it

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    “Interestingly, the Sun actually managed to win the second quarter, as the Bombers appeared to take there foot off the gas a little to only win by 139 points when all was said and done.” “sun” to “suns”, “there” to “their”, added comma. dislike the usage of “foot off the gas a little” deeply americanised passage for a piece about australian football. find another metaphor please

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    Fixed those two typos.

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    Fair dos, have change it to “accelerator” instead of “gas”.

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    clicking a few links in this document and came across this bit of gold in the recommended from our favourite “special” comments lad over at channel seven: https://youtu.be/HpAW8IYXd7c?t=191

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    Yeah that one still gets a fair bit of air time on the television to this day, whenever they have one of those segments where they try to humiliate one another with moments from their playing days.

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    “It is exciting to me that this is a game that I can remember watching on the television at the time, it may have even been the first Gold Coast game I ever watched27.” “it” to “and” after the comma. this little paragraph including and after this sentence i dislike a great deal, you’re illustrating the fun of football stats and the narratives thereto, you don’t need to say so. i’d drop it altogether but whatever floats your boat

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    Ahhh I see you are a fan of the Oxford comma.

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    I’m keeping that paragraph.

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    “…unbelievable goals like this.” still got the edit of you kicking a similar goal down the park somewhere

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    Ahahaha my favourite, I thought that footage was lost. Can you please send it to me?

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    “second quarter” section, 1TRUE

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    Output verification non-error.

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    “It is quite fitting (although a little sad) that the highest scoring second quarter was against a floundering (aforementioned) fitzRoy Football Club (to which we owe the ease with which we obtained this data) en-route to a wooden spoon in their final season prior to merging with Brisbane Bears to form the Brisbane Lions.” couple of things - another usage of “little” in an american fashion. stop this. also you’ve really overdone it with the fitzroy references here, you’ve got a hyperlink to your earlier screed, formatted the name of the club after the r package and then an even more pointless bit of bracketed text explaining the previous two references. pick one and only one.

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    Got rid of the a little, just wen with “although sad”.

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    Nah I like (over-)explanation, keeping it.

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    “third quarter” section, 1TRUE

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    Output verification non-error.

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    “The game on top, the Bombers had a very even distribution of goal-kickers and kicked 32 goals, so they may appear later in our list of multiple goal kickers question.” add “in” after the comma, add “different” before “goal-kickers”, place the number of goals before the goal kickers and reformat slightly, add a comma after all of that, take out the “multiple goal kickers question” bit and just hyperlink “later in our list” to that question if you feel it’s necessary

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    I actually got rid of this sentence, as it turns out they do not make the list of most multiple goal kickers after all (they’re up there but not in the top 5).

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    “all quarters” section, 1TRUE

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    Output verification non-error.

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    “Well, this was slightly unexpected, the Bloods28 came home like a freight train against the woeful Saints, in a game that took place over 100 years ago. It is also the only quarter in AFL history that has notched up a ton. Upon seeing this, given it’s vintage, I though that perhaps the story of this game might have been lost to time, but the Swans have a most insightful article up on their website about it.” bit of a monster paragraph but will endeavour to preserve it with minor commas (note that (haha) there are multiple additions). “its” vs. “it’s” rears its ugly head again. you used “notched” in the first quarter’s explanatory paragraph too, it’s a unique enough word that i’d would advise changing either one (probably the former). “though” to “thought”.

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    Noticed the “its” while reading the quote you provided (seems like I am learning).

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    Fixed both “its” and “thought” (that was a tricky pickup, thanks!)

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    I’m leaving the word notched because I like it. Given the number of times I repeat the words “note” and “interestingly”, I think it[’]s the least of my concerns.

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    “The explanation it provides is that St Kilda were undermanned through a combination of injury and player protest on account of off-field disputes.” try “the explanation provided claims” instead, bit nicer

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    Fixed (paraphrased as to keep my academic integrity in tact).

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    “In the infamous game, the Swans’ third (premiership) quarter was the only one that reached the top 100 quarters of all time.” usage of the word “premiership” is confusing to the casual reader (me). premiership means grand final, but this game was in round 15??? use a synonym

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    The third quarter is often known as the “premiership quarter”, some believe it is the quarter that is most important for a team’s winning chances, perhaps because it comes after half time, where a coach has the opportunity to address his players for an extended time and instruct them on adapting to the opposition’s tactics.

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    I have added a footnote with a hyperlink to prevent confusion.

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    “The fact that no quarter was even close to the the top indicates that the Swans were very consistent through-out the game. To use a cliche, they put in a consistent four-quarter effort and I suppose the Eagles were consistent too (consistently dismal).” torturous

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    Not sure what you are referring to when you say torturous here.

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    make sure to ctrl-f aforementioned and remove some of the 7 hyperlinks

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    Nah leaving it, CTRL+Fing actually made me consider adding even more hyperlinks (be careful what you ask of me).

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    “individual” section, 1TRUE, also nice layout of the table in this section, shows you can do it if you try

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    Output verification non-error.

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    Thanks for the backhanded compliment I guess.

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    “multiple” section, 1TRUE, ditto

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    Output verification non-error.

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    “five or more (bags)” section, 1TRUE, ditto

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    Output verification non-error.

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    “Rounding out the 4 was a contribution of 5 snags…” use four instead of 4, you’ve been using the numeral for statistics, don’t use it casually, particularly in the same sentence as a statistic

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    Sure, fixed

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    “A clanger is defined as” and “Or in more precise football statistics terms” add colons after these

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    Yep makes sense.

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    take the full stop out of “an absurd or embarrasing blunder” and perhaps add where the definition is from, for symmetry

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    Its from google haha, just gonna leave it as is but the symmetry might be nice.

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    “An error made by a player resulting in a negative result for his side. Disposal clangers are any kick or handball that directly turns the ball over to the opposition. Frees and 50-metre penalties against, No Pressure Errors, Dropped Marks and Debits are all included in clangers.32” quotation not formatted correctly

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    Yeah I know, it would seem the footnote messes witht he quote formatting, not much I can do.

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    Actually, I fixed it by no longer making it a footnote.

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    “most clangers” section, 1TRUE, in the tables in this section and the next, sydney’s data is highlighted with a blue background rather than red as was the case for previous tables. why?

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    Output verification non-error.

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    Because in this case the team I was targeting in this case was West Coast instead of Sydney because they were the ones who played poorly. I think this section showed that it takes two to tango and in fact a little extra help from the elements in most cases as well.

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    “…rolling the dice more with possession (high risk, high reward), as popularised by Richmond…” added comma

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    Done.

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    “Having spot-checked a few examples, there is also a bit of a pattern of wet weather impacting these games it would seem.” particularly egregious example of conversational writing, it is not change that is required, but reflection

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    Whatever you say.

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    “We will therefore have to make do with answering this question only for about the past decade.” another bit that abrades the mind, “only for about” is perfectly comprehenisible when spoken, but creates a sticking point in the middle of a written sentence

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    It is what it is, I don’t read so I don’t know any better.

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    “worst disposal efficiency” section, 1TRUE

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    Output verification non-error.

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    “The only game with less than 50% disposal efficiency was played in torrid conditions up in Cairns” “torrid”’s a lovely word that unfortunately has conflicting meanings here, originating from the latin for scorch and also used to mean difficult or troubling in the modern era, you have used it in a context where it was pissing down in the late evening. change to “horrid” for a similar level of britishness

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    That makes me want to keep it, I like the contrast and most people don’t even know what it means. I think torrid sounded a bit like torrential to me so its true meaning is a surprising revelation to me.

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    “I have however seen equal or worse conditions in the past, so it is somewhat curious that this was the worst by such a margin.” added comma

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    Fixed.

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    “For reference, Gold Coast were very poor that year, coming second last but the Roos came in a respectable ninth position (only one win and percentage outside the top 8), this also points to them probably winning this game if has been played in more favourable conditions, but they still would have missed out on finals due to the mammoth percentage of the Cats that year.” added commas? jeez louise put a full stop, like, somewhere. replace one of the uses of “that year”. change “if has” to “if it had”

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    Yeah okay don’t really want to reword the entire thing but year it is a rather long sentence I will admit (probably could struggle to say it in one breath). Added the commas.

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    The “cleanest” player on the day was Jesse Joyce, who’s 8 touches came at 75% efficiency (however it was a rather low sample size). change “however it was” to “albeit with” and “who’s” (short for who has) to “whose”. apostrophes proving themselves to be tricky bastards, much like their grounded friends the commas

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    Oh no who’s versus whose (I don’t reckon I will ever learn this one, I suppose whose being of possession makes sense but whatever happened to the apostrophe of possession)

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    I’m keeping “however it was” because I see nothing wrong with it, albeit I do like the word “albeit”

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    “Seeing a game in 2018 is also a fun reminder of the last time the Eagles won a premiership, which feels a long way off given…” added comma

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    Fixed

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    “in spite of their recent win against the also similarly languishing35 Roos last Sunday.” remove “also” from this sentence

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    Fixed

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    “In the 20th century, the use of suburban grounds where the quality of the surface was subpar I am sure lead to far more games…” change “lead” to “led”. whaddya know about lead?

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    What do you know about lead?

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    Fixed.

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    “when I cross referenced the games with match reports and highlights, some of the”sunny” games turned out to be played in torrential rain.” added comma. would instinctually change “when i cross referenced” to “cross referencing”

    -
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    Fixed both

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    “This has only happened 4 out of 45 times and the last time was Eagles (and Carlton) superstar Chris Judd in 2005.” change “and the last time” to “, the last time being”, make sure to add the comma

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    I think in this case I split a sentence in two thinking it was too long but I know now to trust my instinct and to always write long sentences and seldom use full stops (thanks!).

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    Lol you and your commas, fine.

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    “The Norm Smith Medal was first instituted in 1979. Prior to this, there was no official award given, however the media and fans of the day had their opinions of who the best on ground was in prior grand finals.” added comma, would change “however” to “though”

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    Kept “however”.

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    Added comma.

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    “He is known for a legendary moment during this match, where, towards the end of the fourth quarter, he ran down his own (errant) kick…” added comma. yes, i know there’s already 3 in this sentence, and yes, you need another one

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    Lol okay sure thing.

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    remember this sentence being a pain to write (describing things is hard).

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    “(father of Maurice Junior who is currently plying his trade at his old man’s club)” “junior” to “jr.”

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    Fixed

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    after all’s said and done for our questions, would like to make a suggestion that you do some further explanation not just of the top spot on our tables, but relate those circumstances and the question at large to our “infamous game” as you like to refer to it as. bit of grounding would do this article good

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    I think I’m done with writing but will keep this in mind for the future.

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    find and replace “interestingly” with synonyms, rewrite accordingly

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    I think I’ll leave it and keep it in mind.

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    “interestingly” synonyms:

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    • intriguing

      • -

    • fascinating

      • -

    • engaging

      • -

    • exciting

      • -

    • absorbing

      • -

    • provocative

      • -

    • involving

      • -

    • gripping

      • -
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    Annoyingly, they forgot the “ly” in the search results

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    “…which is notable enough I think…” why would you write this

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    Whyever not?

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    “fitzRoy: as outlined in this article, this R package is the de facto way of sourcing AFL data.” is de facto really the phrase you want to use?

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    I don’t see a problem with it. What is your grip?

    -
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    this article is way too long, auto-estimate claims 65 minutes, likely far less if you skip the code portions (as any sane person would) but still labourious. publications with a reputation for “journalistic integrity” only get away with 20 minutes maximum, what hope do you have in the age of subway surfers mmm ice cream so good yesyesyes

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    I’m trying to buck the trend of low attention spans I suppose, we’ll see if it pays off.

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    And yes 66 minutes is a rather inaccurate estimate but I kind of like how high it is, feels like it reflects the amount of time I put into it (although one could also use a certain Mark Twain quote to rebuke me here)

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z(?LtG2hlz{w4?baKfNcWhwJUk+{7ZJ>#r`3u8*d-GL4SQrlsDteDswx@4me3^!nIE^P%6lyYNb5_b6_{`cj?!J!hY0fXx7+NR#U2gX|@lE{b+d z&=qImz~$^^A9?x|yd-t*9(sEg?7ynboPfV(_RE?Z0e!Nf;e&3aB9<&J%5L8|CW+G< z@fEbX@hBdC`=EM%W=?u0_pGWVJn(2IeM#o~hS(lC_}$s=nvu0FYE7(s>h!zMy4t@-ix4#yb1^jN(AnOR6D&pAP+b69gC%1?t3Q^VNCt^Rmy+YT1a8BFj9KH5|){W9?$HyKKq z=rb0WOKkImjLI1-8m*!H$C6jI`jLXOGqIR6HLyd_njC5DhWYLw&q~BpOM2Ep$+=inHcuWWZkVO}!I$h*BYfw1cdMeMuPUqsTy1>J4 z80%)O9YK}H$aDF|C>aZtc~PI2 - - - - - - -Tim Gummer - Curriculum Vitae - - - - - - - - - - - - - - - - - - - - - - - - - -
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    Curriculum Vitae

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    - This is my Curriculum Vitae (CV), outlining my professional and education experiences to date. It is not tailored to any particular role and is rather a more detailed and verbose collation of all my experiences I believe to be pertinent to my career. -
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    How the CV(ausage) is made.

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    My resume was built in a “data-driven” fashion using the vitae R package and Excel1. It uses the beautiful Awesome CV template which I previously used in pure \(\LaTeX\).

  • 1 Note that the linked YouTube video does not use Excel but I do.

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    It is currently in a private repository on GitHub as it has some private information in it. There is also a visually consistent template for writing (cover) letters as well. I am happy to share the code with anyone who is interested. It probably is best suited to those familiar with \(\LaTeX\), R and Excel2.

  • 2 I am not sure how large the intersection between these skill sets is but I personally find the workflow and resulting look very satisfying.

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    In the future I may make a clean template in a public repository to share with an accompanying blog post on how to use the template.

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    Bit of Fun

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    Unfortunately I do not have a video CV.

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    2023 Tim Gummer Source Code
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    - - - \ No newline at end of file diff --git a/_site_rendered/goals/index.html b/_site_rendered/goals/index.html deleted file mode 100644 index 346f916..0000000 --- a/_site_rendered/goals/index.html +++ /dev/null @@ -1,644 +0,0 @@ - - - - - - - -Tim Gummer - Goals - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    Goals

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    - This page is a collation of my goals (prospective) and achievements (retrospective). The purpose is to be something of a reminder of both how far I have come and what I am working towards. My vague cutoff is from my university days onwards. -
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    -Non-linearity -
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    I would also like to emphasise the non-linearity and compounding nature of personal progress. As such, I have also included some roadblocks and failures I have experience along the way.

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    This is my attempt to run counter to what one might see on a resume or social media (predominately successes and seldom failures). I am also doing this as a reminder that:

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    • Not all ventures succeed (and this is okay).
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    • It is from failures that we often learn the most.
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    • Without risking failure, we will never dare to do anything bold.
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    Summary Tables

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    The tables below are split into tabs by category (Study, Professional, Personal Projects and Extracurricular). Each table row is a different project. Click the arrow to the left of each row, to expand each project into a table with my goals. If the 🖱 ️symbol appears in a cell, then it has a tooltip which you can view by hovering over it with your mouse.

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    Below is a legend for the Status and Completion fields.

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    2023 Tim Gummer Source Code
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    Tim Gummer

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    - Those who have seen me recently might observe that I currently look rather different to this photo. It was taken in April 2021 which was the last time I had a haircut and it is also the most recent (and only) professional photo which has been taken of me since high school (although some have suggested that it looks like a school photo anyway). -
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    Welcome to my website!

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    You have reached the personal website of Tim Gummer. I am an Associate of Institute of Actuaries of Australia (AIAA). I am currently taking an 18 month leave of absence from my job as an Actuarial Analyst at Finity Consulting in order to spend more time on my actuarial studies (to become a fellow), with my family and on personal projects.

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    I have built this website as a fun project. I would like to use it to chronicle some of my side projects. I enjoy these projects for their own sake and the main benefit I get out of them is learning and the satisfaction of building something cool. I hope that this website will provide me with further motivation to work on these projects (as well as being an enjoyable project in and of itself).

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    My interests

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    The content of this site will mix and match combinations of some of my particular interests/skills listed below:

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    • Tools/Languages: R, VBA, Excel, \(\LaTeX\), Python

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    • Methods: Statistics, Data Science (Collection, Visualisation, Modelling), Mathematics

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    • Applications: Sport (Australian Rules Football, Cricket)

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    Contents

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    • Blog: articles about my person projects and things that interest me.

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    • Goals: keeping track of my goals (prospective) and achievements (retrospective) as well as failure/road blocks along the way.

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    • CV: my public curriculum vitae for keeping track of my educational and professional experiences.

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    Colophon

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    This section is inspired by the section of the same name in Hadley Whickham’s R For Data Science (I am unaware of where the concept originally came from).

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    This website is built using Quarto’s static website generator. As I am most familiar with R and am using Quarto coming from using RMarkdown, I am using knitr as my engine.

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    -The three amigos -
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    But don’t thank Quarto, thank the web development family: HTML, CSS and JavaScript, the three amigos.

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    Session info

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    R version 4.3.1 (2023-06-16 ucrt)
-Platform: x86_64-w64-mingw32/x64 (64-bit)
-Running under: Windows 11 x64 (build 22621)
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-Matrix products: default
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-locale:
-[1] LC_COLLATE=English_Australia.utf8  LC_CTYPE=English_Australia.utf8   
-[3] LC_MONETARY=English_Australia.utf8 LC_NUMERIC=C                      
-[5] LC_TIME=English_Australia.utf8    
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-time zone: Australia/Sydney
-tzcode source: internal
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-attached base packages:
-[1] stats     graphics  grDevices utils     datasets  methods   base     
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-loaded via a namespace (and not attached):
- [1] htmlwidgets_1.6.2 compiler_4.3.1    fastmap_1.1.1     cli_3.6.1        
- [5] tools_4.3.1       htmltools_0.5.5   rstudioapi_0.14   yaml_2.3.7       
- [9] rmarkdown_2.22    knitr_1.43        jsonlite_1.8.5    xfun_0.39        
-[13] digest_0.6.31     rlang_1.1.1       evaluate_0.21
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    [1] "2023-07-25 15:41:36 AEST"
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    2023 Tim Gummer Source Code
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    Click the icon in the navigation bar to initiate dark (hacker) mode 😁 Click the icon in the navigation bar to return to light (normie) mode 😞
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    Designed with using and Quarto
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    - - - \ No newline at end of file diff --git a/_site_rendered/listings.json b/_site_rendered/listings.json deleted file mode 100644 index d7ce807..0000000 --- a/_site_rendered/listings.json +++ /dev/null @@ -1,12 +0,0 @@ -[ - { - "listing": "/blog/index.html", - "items": [ - "/blog/2023/over-analysing-idle-footy-chat/index.html" - ] - }, - { - "listing": "/projects/index.html", - "items": [] - } -] \ No newline at end of file diff --git a/_site_rendered/projects/index.html b/_site_rendered/projects/index.html deleted file mode 100644 index e239be7..0000000 --- a/_site_rendered/projects/index.html +++ /dev/null @@ -1,658 +0,0 @@ - - - - - - - - - - -Tim Gummer - Projects - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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    Projects

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    - Below is a list of my personal projects. -
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    - - - - \ No newline at end of file diff --git a/_site_rendered/robots.txt b/_site_rendered/robots.txt deleted file mode 100644 index 4c90f2d..0000000 --- a/_site_rendered/robots.txt +++ /dev/null @@ -1 +0,0 @@ -Sitemap: https://t-gummer.netlify.app/sitemap.xml diff --git a/_site_rendered/search.json b/_site_rendered/search.json deleted file mode 100644 index 3705095..0000000 --- a/_site_rendered/search.json +++ /dev/null @@ -1,170 +0,0 @@ -[ - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#target-audience-unclear", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#target-audience-unclear", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Target Audience Unclear", - "text": "Target Audience Unclear\nIf you are a footy fan this article will likely present as some mildy interesting footy facts, combined with incomprehensible techno-babble. For R users this will likely appear to be a fairly elementary data wrangling exercise, combined with a bunch of references you don’t understand. But if you are both a footy fan and an R user, it will hopefully prove to be a quite interesting read." - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#question-list", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#question-list", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Question List", - "text": "Question List\nThis article aims to tackle the questions listed below:\n\n\nWhat is the record for the highest scoring quarter?\nWhat is the record for the most individual goal kickers for a team in a single game?\nWhat is the record for the most multiple goal kickers for a team in a single game?\nWhat is the record for the most players kicking five or more goals for a team in a single game (i.e. the most “bags”)?\nWhat is the record for the most clangers in a game?\nWhat is the record for the worst disposal efficiency in a game?\nWho was the youngest player to win a Norm Smith Medal?\nWhat is the record for the most unanswered goals in a game?*\nWhat is the school with the most AFL players on their list?*\nWhat city/town has the most AFL players relative to population?*\nWhich player has the best goals to behinds ratio?*\nHave there ever been any undefeated seasons?*\nWhat is the worst win-loss record to make finals?*\n\n\n\n\n\n\n\n\nDisclaimer on the asterisk\n\n\n\nI have put an asterisk next to questions that either:\n\ncannot easily be answered by the methods I discuss below; or\nare too lengthy for this blog post (these may get their own dedicated blog post in the future).\n\nThe remaining questions (which have hyperlinks to later sections of this article) will be tackled using R below.\n\n\nNote that things are about to get very technical so if you are only really interested in the answers (and not the R coding), you can jump ahead by clicking here." - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#the-fitzroy-package", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#the-fitzroy-package", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "The fitzRoy Package", - "text": "The fitzRoy Package\nThe first step in analysing AFL data is obtaining the data (the so-called “collection” phase). Our first thought might be to search the web for publicly available AFL datasets and APIs or even scrape the data from websites such as the official AFL website, Footywire or AFL Tables. But there is a more straight-forward way.\nWhile most people now know Fitzroy as a trendy inner city suburb of Melbourne, filled with terraces and over-priced croissants, it was once home10 to the mighty (and now merged out of existence) Fitzroy Lions Football Club.10 It is also (regrettably) the place of my birth but as a WA boy I don’t like to talk about the fact that my parents happened to be in Melbourne when I was born.\n\n\n\n\nWe can obtain the data we need very simply using its name-sake, the fitzRoy R package. This package abstracts away all the web scraping and API calls for us into a very helpful family of fetch_* functions.\nSo let’s begin by loading the fitzRoy package and while we’re at it, we will also load all the other packages we will be using later on.\n\nlibrary(fitzRoy)\n\n# Note that I generally avoid mixing dplyr and data.table at the same time\n# but the reason I have done this with will become apparent later\nlibrary(dplyr)\nlibrary(data.table)\n\nlibrary(rvest)\nlibrary(stringr)\nlibrary(tidyr)\nlibrary(purrr)\nlibrary(lubridate)\n\n\nfitzRoy Data Sources\nfitzRoy provides access to a number of footy data sources11 including AFL Tables and the official AFL website. Each data source has its own advantages and disadvantages, for example:11 Up-to-date information on data sources can be found on fitzRoy’s documentation site\n\nAFL Tables has the entirety of AFL/VFL history (1897 to present) but lacks some of the more advanced stats.\nThe official AFL website only has data from 2014 onwards but it also probably the most complete in terms of the advanced statistics it contains (e.g. centre bounce attendances12).\n\n12 Centre bounce attendances (CBAs) are a commonly-used metric in AFL Fantasy, fantasy “coaches” often look at tools such as this one to help with researching their trades.All of the different data sources are compared in the table below:\n\n\n\n\n\n\n\n\nNote that each row of the table can be expanded to reveal what data is available from each source, as well at its use-case. In addition to the sources listed in this table, the following functions only come from one source:\n\nfetch_betting_odds_footywire()\nfetch_squiggle_data()\nfetch_coaches_votes()" - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#importing-the-data", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#importing-the-data", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Importing the Data", - "text": "Importing the Data\nFor the purposes of answering the questions above, I am most interested in the full history of the AFL and have decided to use AFL Tables as my primary data source13. I will also use Fryzigg for one small use-case where AFL Tables is missing key data (disposal efficiency) and some bespoke web scraping for Norm Smith Medallists.13 In hindsight I somewhat regret this decision and would have probably preferred to use Fryzigg for everything (with the exception of quarter scores which it doesn’t have and AFL Tables does) but I only realised it had the full AFL/VFL history when I constructed the table comparing data sources above\nThe fetch_* family of functions from the fitzRoy package allow us to read data from the various sources. Consult the documentation site for a complete list of all the available functions.\nWe can fetch this data via fitzRoy with the following code:\n\nplayer_stats <- fetch_player_stats_afltables(season = 1897:2023)\nresults <- fetch_results_afltables(season = 1897:2023)\nplayer_details <- fetch_player_details_afltables()\nplayer_stats_fryzigg <- fetch_player_stats_fryzigg(season = 1897:2023)\n\n\n\n\n\n\n\nBeing a good citizen\n\n\n\nWhen sourcing data from fitzRoy, it is important to follow good data collection14 etiquette by only downloading the data you need and avoiding repeatedly downloading the same data over and over again. This prevents servers being overloaded and will mean everyone will get their data faster.\nIn keeping with this, for the purposes of this blog post, I have saved the data in a local RDS file. That way, I can simply use readRDS() instead of of repeatedly calling the fetch_* functions. The code for this is below (and the code above is not actually run but is cleaner for demonstration purposes):\n\nif(file.exists(\"data/player_stats.RDS\")) {\n player_stats <- readRDS(\"data/player_stats.RDS\")\n \n} else {\n player_stats <- fitzRoy::fetch_player_stats_afltables(season = 1897:2023)\n saveRDS(player_stats, \"data/player_stats.RDS\")\n}\n\nif(file.exists(\"data/results.RDS\")) {\n results <- readRDS(\"data/results.RDS\")\n \n} else {\n results <- fitzRoy::fetch_results_afltables(season = 1897:2023)\n saveRDS(results, \"data/results.RDS\")\n}\n\nif(file.exists(\"data/player_details.RDS\")) {\n player_details <- readRDS(\"data/player_details.RDS\")\n \n} else {\n player_details <- fetch_player_details_afltables()\n saveRDS(player_details, \"data/player_details.RDS\")\n}\n\nif(file.exists(\"data/player_stats_fryzigg.RDS\")) {\n player_stats_fryzigg <- readRDS(\"data/player_stats_fryzigg.RDS\")\n \n} else {\n player_stats_fryzigg <- fetch_player_stats_fryzigg(season = 1897:2023)\n saveRDS(player_stats_fryzigg, \"data/player_stats_fryzigg.RDS\")\n}\n\n\n\n14 this topic is discussed on the fitzRoy documentation site hereThe data we have read in is as at round 19 of the 2023 AFL season." - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#finicky-details-about-other-r-packages", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#finicky-details-about-other-r-packages", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Finicky Details About Other R Packages", - "text": "Finicky Details About Other R Packages\nTidyverse Versus data.table\n\nIn the R community, there is an ongoing power struggle between using the Posit15-backed tidyverse and the heavily-optimised data.table.15 formerly known as RStudio (RIP)\nAs to not unsettle people who prefer either dplyr (and the tidyverse) or data.table, I have written code in both packages16. Where relevant, I have used a tabbed layout for the convenience of the reader. As my personal preference for readability purposes is the tidyverse17, I will place this code in the first tab.16 Note that I have not written a base R dataframes version because I can see arguments for using both tidyverse and data.table but base R data.frames will probably cause more pain than they are worth (there is a reason that tidyverse and data.table exist)17 I will typically will only use data.table if the size of data necessitates it. In this case, the data is less than a million rows so there are no problems.\n\n\n\n\n\n\nA cautionary tale\n\n\n\nWhile doing things in this way did scratch something of a perfectionist’s itch in me and was a fun learning experience, I will probably refrain from doing something like this again in future posts. I don’t think the additional time it took me to essentially write the same code twice is worth the effort.\n\n\n\n\nTidyverse\ndata.table\n\n\n\nNote that the code below is somewhat redundant as the fitzRoy package follows the tidyverse philosophy and returns tibbles. I have used the _tb suffix18 to distinguish tibble/dplyr/tidyverse from the data.table code.18 an abbreviation of “tibble”\n\nplayer_stats_tb <- as_tibble(player_stats)\nresults_tb <- as_tibble(results)\nplayer_details_tb <- as_tibble(player_details)\nplayer_stats_fryzigg_tb <- as_tibble(player_stats_fryzigg)\n\n\n\nHenceforth, all data.table code will use the _dt suffix19 as to distinguish it from the tidyverse code.19 an acronym of “data.table”\n\nplayer_stats_dt <- as.data.table(player_stats)\nresults_dt <- as.data.table(results)\nplayer_details_dt <- as.data.table(player_details)\nplayer_stats_fryzigg_dt <- as.data.table(player_stats_fryzigg)\n\n\n\n\nAdoption of the Native Pipe Operator (|>)\nThe so-called pipe operator (%>%) of the magrittr package has been a core staple of tidyverse since its inception, but since the R core team introduced the so-called native pipe (|>) to base R (in version 4.120), this has led to a split in adoption. There are some nuances in its usage21 but it overall behaves in a similar way to the magrittr pipe and has less overhead (and is therefore faster). While the native pipe was initially missing some of the key features of the magrittr pipe, new features22 have been added to it that (in my mind) mean that it might have even surpassed the magrittr pipe.20 another cool thing introduced in this version of R was so-called function shorthand (\\()), see help(\"function\") for more details21 I may even cover these in a future blog post22 In R version 4.2, the _ symbol was added as a placeholder character and in R version 4.3, extractions using the $ symbol are now allowed\nWhile I have tried to appease people in both the tidyverse and data.table camps, I will not be re-writing my code more than once with such as minor syntactic difference as the pipe I use. I will therefore be dragging all my tidyverse-using readers kicking and screaming into the R 4.1 world by adopting the native pipe (|>) in my tidyverse code.\nNote that the common RStudio shortcut, Ctrl+Shift+M can be changed from the magrittr pipe (%>%), which is still the default, to the native pipe (|>).\nWebscraping package\nWhile the majority of our data will be sourced using the fitzRoy package, a small amount of data (namely Norm Smith medalists, which are outside of the scope of fitzRoy) will require us to perform some bespoke web scraping. This will be performed using the rvest package (loaded above)." - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#flattening-the-data", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#flattening-the-data", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Flattening the Data", - "text": "Flattening the Data\nTo begin with, let’s scrutinise the results data in order to figure out what we have to work with.\n\nstr(results)\n\ntibble [16,352 × 16] (S3: tbl_df/tbl/data.frame)\n $ Game : num [1:16352] 1 2 3 4 5 6 7 8 9 10 ...\n $ Date : Date[1:16352], format: \"1897-05-08\" \"1897-05-08\" ...\n $ Round : chr [1:16352] \"R1\" \"R1\" \"R1\" \"R1\" ...\n $ Home.Team : chr [1:16352] \"Fitzroy\" \"Collingwood\" \"Geelong\" \"Sydney\" ...\n $ Home.Goals : int [1:16352] 6 5 3 3 6 4 3 9 6 5 ...\n $ Home.Behinds: int [1:16352] 13 11 6 9 4 6 8 10 5 9 ...\n $ Home.Points : int [1:16352] 49 41 24 27 40 30 26 64 41 39 ...\n $ Away.Team : chr [1:16352] \"Carlton\" \"St Kilda\" \"Essendon\" \"Melbourne\" ...\n $ Away.Goals : int [1:16352] 2 2 7 6 5 8 10 3 5 7 ...\n $ Away.Behinds: int [1:16352] 4 4 5 8 6 2 6 1 7 8 ...\n $ Away.Points : int [1:16352] 16 16 47 44 36 50 66 19 37 50 ...\n $ Venue : chr [1:16352] \"Brunswick St\" \"Victoria Park\" \"Corio Oval\" \"Lake Oval\" ...\n $ Margin : int [1:16352] 33 25 -23 -17 4 -20 -40 45 4 -11 ...\n $ Season : num [1:16352] 1897 1897 1897 1897 1897 ...\n $ Round.Type : chr [1:16352] \"Regular\" \"Regular\" \"Regular\" \"Regular\" ...\n $ Round.Number: int [1:16352] 1 1 1 1 2 2 2 2 3 3 ...\n\n\nWhile inspecting the results we may note that certain key match-level information (e.g. quarter-by-quarter scores) for answering some of our questions is missing from it. As it turns out, this data is actually available on the player_stats_afl_tables data (one row per player per match) instead. Thus, we will opt to create a ‘flattened’ version of player_stats_afl_tables with all the match-level fields available to use on both datasets and discard the results dataset (save for some quick checks to make sure the player data ‘flattening’ worked as expected).\nNow, let’s take a look at the player_stats_afl_tables dataset to determine which fields are player-level and which are match-level.\n\n\nCode\nOutput\n\n\n\n\nstr(player_stats)\n\nNote that the output has been placed into another tab as it is rather long.\n\n\n\n\ntibble [663,115 × 59] (S3: tbl_df/tbl/data.frame)\n $ Season : num [1:663115] 1897 1897 1897 1897 1897 ...\n $ Round : chr [1:663115] \"1\" \"1\" \"1\" \"1\" ...\n $ Date : Date[1:663115], format: \"1897-05-08\" \"1897-05-08\" ...\n $ Local.start.time : int [1:663115] 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 ...\n $ Venue : chr [1:663115] \"Brunswick St\" \"Brunswick St\" \"Brunswick St\" \"Brunswick St\" ...\n $ Attendance : num [1:663115] 3000 3000 3000 3000 3000 3000 3000 3000 3000 3000 ...\n $ Home.team : chr [1:663115] \"Fitzroy\" \"Fitzroy\" \"Fitzroy\" \"Fitzroy\" ...\n $ HQ1G : int [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ HQ1B : int [1:663115] 5 5 5 5 5 5 5 5 5 5 ...\n $ HQ2G : int [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ HQ2B : int [1:663115] 11 11 11 11 11 11 11 11 11 11 ...\n $ HQ3G : int [1:663115] 5 5 5 5 5 5 5 5 5 5 ...\n $ HQ3B : int [1:663115] 13 13 13 13 13 13 13 13 13 13 ...\n $ HQ4G : int [1:663115] 6 6 6 6 6 6 6 6 6 6 ...\n $ HQ4B : int [1:663115] 13 13 13 13 13 13 13 13 13 13 ...\n $ Home.score : int [1:663115] 49 49 49 49 49 49 49 49 49 49 ...\n $ Away.team : chr [1:663115] \"Carlton\" \"Carlton\" \"Carlton\" \"Carlton\" ...\n $ AQ1G : int [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ AQ1B : int [1:663115] 3 3 3 3 3 3 3 3 3 3 ...\n $ AQ2G : int [1:663115] 1 1 1 1 1 1 1 1 1 1 ...\n $ AQ2B : int [1:663115] 3 3 3 3 3 3 3 3 3 3 ...\n $ AQ3G : int [1:663115] 2 2 2 2 2 2 2 2 2 2 ...\n $ AQ3B : int [1:663115] 3 3 3 3 3 3 3 3 3 3 ...\n $ AQ4G : int [1:663115] 2 2 2 2 2 2 2 2 2 2 ...\n $ AQ4B : int [1:663115] 4 4 4 4 4 4 4 4 4 4 ...\n $ Away.score : int [1:663115] 16 16 16 16 16 16 16 16 16 16 ...\n $ First.name : chr [1:663115] \"Bill\" \"Jimmy\" \"Bob\" \"Tom\" ...\n $ Surname : chr [1:663115] \"Ahern\" \"Aitken\" \"Armstrong\" \"Blake\" ...\n $ ID : num [1:663115] 4415 4416 4417 4419 4421 ...\n $ Jumper.No. : chr [1:663115] \"0\" \"0\" \"0\" \"0\" ...\n $ Playing.for : chr [1:663115] \"Carlton\" \"Carlton\" \"Carlton\" \"Carlton\" ...\n $ Kicks : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Marks : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Handballs : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Goals : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Behinds : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Hit.Outs : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Tackles : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Rebounds : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Inside.50s : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Clearances : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Clangers : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Frees.For : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Frees.Against : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Brownlow.Votes : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Contested.Possessions : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Uncontested.Possessions: num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Contested.Marks : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Marks.Inside.50 : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ One.Percenters : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Bounces : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Goal.Assists : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Time.on.Ground.. : num [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Substitute : int [1:663115] 0 0 0 0 0 0 0 0 0 0 ...\n $ Umpire.1 : chr [1:663115] \"Samuel Hood\" \"Samuel Hood\" \"Samuel Hood\" \"Samuel Hood\" ...\n $ Umpire.2 : chr [1:663115] \"\" \"\" \"\" \"\" ...\n $ Umpire.3 : chr [1:663115] \"\" \"\" \"\" \"\" ...\n $ Umpire.4 : chr [1:663115] \"\" \"\" \"\" \"\" ...\n $ group_id : int [1:663115] 2 2 2 2 2 2 2 2 2 2 ...\n\n\n\n\n\nInspecting the fields and using some knowledge of the game, we can determine that the following fields are player-level:\n\nplayer_level_fields <- c(\n \"First.name\", \"Surname\", \"ID\", \"Jumper.No.\", \"Playing.for\", \"Kicks\", \"Marks\", \n \"Handballs\", \"Goals\", \"Behinds\", \"Hit.Outs\", \"Tackles\", \"Rebounds\", \"Inside.50s\", \n \"Clearances\", \"Clangers\", \"Frees.For\", \"Frees.Against\", \"Brownlow.Votes\", \n \"Contested.Possessions\", \"Uncontested.Possessions\", \"Contested.Marks\", \n \"Marks.Inside.50\", \"One.Percenters\", \"Bounces\", \"Goal.Assists\", \"Time.on.Ground..\",\n \"Substitute\"\n )\n\nmatch_level_fields <- setdiff(colnames(player_stats), player_level_fields)\n\nWe can now safely group and aggregate by the match_level_fields below:\n\n\nTidyverse\ndata.table\n\n\n\n\nplayer_stats_tb |> \n mutate(\n home_player = Playing.for == Home.team,\n away_player = Playing.for == Away.team\n ) |> \n group_by(pick(all_of(match_level_fields))) |> \n summarise(\n player_count = n(),\n home_kicks = sum(Kicks * home_player),\n away_kicks = sum(Kicks * away_player),\n home_marks = sum(Marks * home_player),\n away_marks = sum(Marks * away_player),\n home_handballs = sum(Handballs * home_player),\n away_handballs = sum(Handballs * away_player),\n home_hit_outs = sum(Hit.Outs * home_player),\n away_hit_outs = sum(Hit.Outs * away_player),\n home_tackles = sum(Tackles * home_player),\n away_tackles = sum(Tackles * away_player),\n home_rebounds = sum(Rebounds * home_player),\n away_rebounds = sum(Rebounds * away_player),\n home_inside_50s = sum(Inside.50s * home_player),\n away_inside_50s = sum(Inside.50s * away_player),\n home_clearances = sum(Clearances * home_player),\n away_clearances = sum(Clearances * away_player),\n home_clangers = sum(Clangers * home_player),\n away_clangers = sum(Clangers * away_player),\n home_frees_for = sum(Frees.For * home_player),\n away_frees_for = sum(Frees.For * away_player),\n home_frees_against = sum(Frees.Against * home_player),\n away_frees_against = sum(Frees.Against * away_player),\n home_contested_possessions = sum(Contested.Possessions * home_player),\n away_contested_possessions = sum(Contested.Possessions * away_player),\n home_uncontested_possessions = sum(Uncontested.Possessions * home_player),\n away_uncontested_possessions = sum(Uncontested.Possessions * away_player),\n home_contested_marks = sum(Contested.Marks * home_player),\n away_contested_marks = sum(Contested.Marks * away_player),\n home_marks_inside_50 = sum(Marks.Inside.50 * home_player),\n away_marks_inside_50 = sum(Marks.Inside.50 * away_player),\n home_one_percenters = sum(One.Percenters * home_player),\n away_one_percenters = sum(One.Percenters * away_player),\n home_bounces = sum(Bounces * home_player),\n away_bounces = sum(Bounces * away_player),\n home_goal_assists = sum(Goal.Assists * home_player),\n away_goal_assists = sum(Goal.Assists * away_player),\n .groups = \"drop\"\n ) |>\n arrange(Date, Local.start.time, Home.team) -> \n match_stats_flat_tb\n\n# verify correct number of games:\nnrow(match_stats_flat_tb) == nrow(results_tb)\n\n[1] TRUE\n\n\n\n\n\nmatch_stats_flat_dt <- copy(player_stats_dt)\n\nmatch_stats_flat_dt[, home_player := Playing.for == Home.team]\nmatch_stats_flat_dt[, away_player := Playing.for == Away.team]\n\nmatch_stats_flat_dt <- match_stats_flat_dt[, .(\n player_count = .N,\n home_kicks = sum(Kicks * home_player),\n away_kicks = sum(Kicks * away_player),\n home_marks = sum(Marks * home_player),\n away_marks = sum(Marks * away_player),\n home_handballs = sum(Handballs * home_player),\n away_handballs = sum(Handballs * away_player),\n home_hit_outs = sum(Hit.Outs * home_player),\n away_hit_outs = sum(Hit.Outs * away_player),\n home_tackles = sum(Tackles * home_player),\n away_tackles = sum(Tackles * away_player),\n home_rebounds = sum(Rebounds * home_player),\n away_rebounds = sum(Rebounds * away_player),\n home_inside_50s = sum(Inside.50s * home_player),\n away_inside_50s = sum(Inside.50s * away_player),\n home_clearances = sum(Clearances * home_player),\n away_clearances = sum(Clearances * away_player),\n home_clangers = sum(Clangers * home_player),\n away_clangers = sum(Clangers * away_player),\n home_frees_for = sum(Frees.For * home_player),\n away_frees_for = sum(Frees.For * away_player),\n home_frees_against = sum(Frees.Against * home_player),\n away_frees_against = sum(Frees.Against * away_player),\n home_contested_possessions = sum(Contested.Possessions * home_player),\n away_contested_possessions = sum(Contested.Possessions * away_player),\n home_uncontested_possessions = sum(Uncontested.Possessions * home_player),\n away_uncontested_possessions = sum(Uncontested.Possessions * away_player),\n home_contested_marks = sum(Contested.Marks * home_player),\n away_contested_marks = sum(Contested.Marks * away_player),\n home_marks_inside_50 = sum(Marks.Inside.50 * home_player),\n away_marks_inside_50 = sum(Marks.Inside.50 * away_player),\n home_one_percenters = sum(One.Percenters * home_player),\n away_one_percenters = sum(One.Percenters * away_player),\n home_bounces = sum(Bounces * home_player),\n away_bounces = sum(Bounces * away_player),\n home_goal_assists = sum(Goal.Assists * home_player),\n away_goal_assists = sum(Goal.Assists * away_player)\n), by = match_level_fields]\n\nsetorder(match_stats_flat_dt, Date, Local.start.time, Home.team)\n\n# verify outputs match:\nidentical(as.data.frame(match_stats_flat_tb), as.data.frame(match_stats_flat_dt))\n\n[1] TRUE\n\n\n\n\n\nHenceforth, player_stats_* and match_stats_flat_* will be the two datasets we will use predominantly." - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#ids-and-urls", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#ids-and-urls", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "IDs and URLs", - "text": "IDs and URLs\nOne thing that our match_stats_flat_* dataset is currently lacking is a game ID for use as a primary key. In addition, being able to link directly to AFL tables when talking about a particular game or player would be handy.\nGame ID and URL\nLet’s tackle the game ID by writing some functions to an ID which also conveniently lines up with the way AFL Tables game URLs work (two birds with one stone).\n\nteam_code_map <- c(\n \"Adelaide\" = \"01\",\n \"Adelaide Crows\" = \"01\",\n \"Brisbane Bears\" = \"02\",\n \"Carlton\" = \"03\",\n \"Collingwood\" = \"04\",\n \"Essendon\" = \"05\",\n \"Fitzroy\" = \"06\",\n \"Western Bulldogs\" = \"07\",\n \"Fremantle\" = \"08\",\n \"Geelong\" = \"09\",\n \"Geelong Cats\" = \"09\",\n \"Hawthorn\" = \"10\",\n \"Melbourne\" = \"11\",\n \"North Melbourne\" = \"12\",\n \"Port Adelaide\" = \"13\",\n \"Richmond\" = \"14\",\n \"St Kilda\" = \"15\",\n \"Sydney\" = \"16\",\n \"Sydney Swans\" = \"16\",\n \"University\" = \"17\",\n \"West Coast\" = \"18\",\n \"West Coast Eagles\" = \"18\",\n \"Brisbane Lions\" = \"19\",\n \"Gold Coast\" = \"20\",\n \"Gold Coast Suns\" = \"20\",\n \"Greater Western Sydney\" = \"21\",\n \"GWS Giants\" = \"21\"\n)\n\n# The three functions below are all vectorised for efficiency purposes\nget_team_code <- function(team_name) {\n unname(team_code_map[team_name])\n}\n\nget_game_id <- function(home_team_code, away_team_code, game_date) {\n # example ID: 161820230624\n game_date_string <- format(game_date, \"%Y%m%d\")\n \n ifelse(\n home_team_code > away_team_code, \n # the smaller code is always first\n paste0(away_team_code, home_team_code, game_date_string),\n paste0(home_team_code, away_team_code, game_date_string)\n )\n}\n\nget_game_afltables_url <- function(game_id, season) {\n # example url: https://afltables.com/afl/stats/games/2023/161820230624.html\n paste0(\"https://afltables.com/afl/stats/games/\", season,\"/\", game_id, \".html\")\n}\n\nNow let’s use these functions23 to add a primary key to our match_stats_flat_* datasets.23 Note that as the functions are vectorised, we need not use the slow purrr::map*() or *apply() family of functions to apply them to a column of our tibble and data.table respectively.\n\n\nTidyverse\ndata.table\n\n\n\n\nmatch_stats_flat_tb |> \n mutate(\n home_team_code = get_team_code(Home.team),\n away_team_code = get_team_code(Away.team),\n game_id = get_game_id(home_team_code, away_team_code, Date),\n game_afltables_url = get_game_afltables_url(game_id, Season)\n ) |> \n relocate(game_id, .before = Season) |> \n arrange(game_id) ->\n match_stats_flat_tb\n\n\n\n\nmatch_stats_flat_dt[, home_team_code := get_team_code(Home.team)]\nmatch_stats_flat_dt[, away_team_code := get_team_code(Away.team)]\nmatch_stats_flat_dt[, game_id := get_game_id(home_team_code, away_team_code, Date)]\nmatch_stats_flat_dt[, game_afltables_url := get_game_afltables_url(game_id, Season)]\n\nsetcolorder(match_stats_flat_dt, c(\"game_id\", setdiff(names(match_stats_flat_dt), \"game_id\")))\nsetkey(match_stats_flat_dt, game_id)\n\n# verify outputs match:\nidentical(as.data.frame(match_stats_flat_tb), as.data.frame(match_stats_flat_dt))\n\n[1] TRUE\n\n\n\n\n\nPlayer URLs\nIn a similar way we can add a player URL to our player_stats_* datasets, we start by creating a mapping table.\n\n\nTidyverse\ndata.table\n\n\n\n\n# non-duplicate URL: https://afltables.com/afl/stats/players/E/Errol_Gulden.html\n# duplicate URL: https://afltables.com/afl/stats/players/J/Josh_Kennedy0.html, https://afltables.com/afl/stats/players/J/Josh_Kennedy1.html\n# for dealing with duplicates, for example Peter Brown (6 of the same name!) seems to have a nonsensical order\nplayer_stats_tb |> \n mutate(full_name = paste(First.name, Surname, sep = \"_\")) |> \n distinct(ID, full_name) |> \n group_by(full_name) |> \n arrange(ID) |>\n mutate(\n instance_number = as.character(cumsum(rep(1L, n())) - 1L),\n dup_count = n()\n ) |> \n mutate(\n number_suffix = if_else(dup_count == 1L, \"\", instance_number),\n first_letter = str_sub(full_name, 1, 1),\n player_afltables_url = paste0(\"https://afltables.com/afl/stats/players/\", \n first_letter, \"/\", full_name, number_suffix, \".html\")\n ) |> \n ungroup() |> \n select(ID, player_afltables_url) ->\n player_url_tb\n\n\n\n\nplayer_url_dt <- copy(player_stats_dt)\n\nplayer_url_dt[, full_name := paste(First.name, Surname, sep = \"_\")]\nplayer_url_dt <- unique(player_url_dt, by = c(\"ID\", \"full_name\"))\nsetorder(player_url_dt, ID)\nplayer_url_dt <- player_url_dt[, `:=`(\n instance_number = as.character(cumsum(rep(1L, .N)) - 1L),\n dup_count = .N\n), \"full_name\"]\n\nplayer_url_dt[, number_suffix := fifelse((dup_count == 1L), \"\", instance_number)]\nplayer_url_dt[, first_letter := str_sub(full_name, 1, 1)]\nplayer_url_dt[, player_afltables_url := paste0(\"https://afltables.com/afl/stats/players/\", \n first_letter, \"/\", full_name, number_suffix, \".html\")]\nplayer_url_dt <- player_url_dt[, .(ID, player_afltables_url)]\n\n# verify outputs match:\nidentical(as.data.frame(player_url_tb), as.data.frame(player_url_dt))\n\n[1] TRUE\n\n\n\n\n\nNow we can add add the game ID, game URL and player URL to the player_stats_* dataset.\n\n\nTidyverse\ndata.table\n\n\n\n\nplayer_stats_tb <- as_tibble(player_stats) # copied from above\n\nplayer_stats_tb |> \n mutate(\n home_team_code = get_team_code(Home.team),\n away_team_code = get_team_code(Away.team),\n game_id = get_game_id(home_team_code, away_team_code, Date),\n player = paste0(First.name, \" \", Surname, \" (\", Playing.for,\")\")\n ) |> \n left_join(match_stats_flat_tb |> select(game_id, game_afltables_url), by = \"game_id\") |> \n left_join(player_url_tb, by = \"ID\") |> \n relocate(c(\"game_id\", \"player\", \"ID\"), .before = Season) |>\n arrange(game_id, Playing.for, ID) ->\n player_stats_tb\n\n\n\n\nplayer_stats_dt <- as.data.table(player_stats) # copied from above\n\nplayer_stats_dt[, home_team_code := get_team_code(Home.team)]\nplayer_stats_dt[, away_team_code := get_team_code(Away.team)]\nplayer_stats_dt[, game_id := get_game_id(home_team_code, away_team_code, Date)]\nplayer_stats_dt[, player := paste0(First.name, \" \", Surname, \" (\", Playing.for,\")\")]\n\nplayer_stats_dt <- merge(\n player_stats_dt, match_stats_flat_dt[, c(\"game_id\", \"game_afltables_url\")], \n by = \"game_id\")\n\nplayer_stats_dt <- merge(player_stats_dt, player_url_dt, by = \"ID\")\n\nsetcolorder(player_stats_dt, c(c(\"game_id\", \"player\"), setdiff(names(player_stats_dt), c(\"game_id\", \"player\"))))\nsetkey(player_stats_dt, game_id, Playing.for, ID)\n# verify outputs match:\nidentical(as.data.frame(player_stats_tb), as.data.frame(player_stats_dt))\n\n[1] TRUE" - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#finding-the-infamous-game", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#finding-the-infamous-game", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Finding the Infamous Game", - "text": "Finding the Infamous Game\nLet’s use these new datasets to perform the simple exercise of obtaining the game ID for the aforementioned Swans versus Eagles game. We can henceforth use this game ID whenever relevant to rank the Swans in the statistical category we investigate.\n\n(\n infamous_game_id <- get_game_id(\n home_team_code = get_team_code(\"Sydney\"),\n away_team_code = get_team_code(\"West Coast\"),\n game_date = as.Date(\"2023-06-24\")\n )\n)\n\n[1] \"161820230624\"\n\n\nWe can then filter the data and present it below in a table below24.24 note that the code to format the table is omitted.\nMatch Stats\n\n\nTidyverse\ndata.table\n\n\n\n\nmatch_stats_flat_tb |> \n filter(game_id == infamous_game_id)\n\n\n\n\nmatch_stats_flat_dt[game_id == infamous_game_id, ]\n\n\n\n\n\n\n\n\n\n\n\n\nPlayer Stats\n\n\nTidyverse\ndata.table\n\n\n\n\nplayer_stats_tb |> \n filter(game_id == infamous_game_id)\n\n\n\n\nplayer_stats_dt[game_id == infamous_game_id, ]" - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#highest-scoring-quarter", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#highest-scoring-quarter", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Highest Scoring Quarter", - "text": "Highest Scoring Quarter\nAs listed above, our first question was:\n\nWhat is the record for the highest scoring quarter?\n\n\nNote that there is already a page on this topic on AFL Tables, but it is a good one to start with regardless.\n\nTo answer this question, we will begin by creating a reshaped version of the match_stats_flat_* dataset that is structured around quarters.\n\n\nTidyverse\ndata.table\n\n\n\n\ngame_level_columns <- c(\"game_id\", \"game_afltables_url\", \"Season\", \"Round\", \"Venue\", \"Home.team\", \"Away.team\", \"Home.score\", \"Away.score\")\n\nmatch_stats_flat_tb |> \n select(all_of(game_level_columns), starts_with(\"HQ\"), starts_with(\"AQ\")) |> \n pivot_longer(cols = c(starts_with(\"HQ\"), starts_with(\"AQ\")), names_to = \"quarter_gb\", values_to = \"gb_count\") |>\n mutate(\n quarter = str_extract(quarter_gb, \"\\\\d\"),\n gb_label = if_else(str_detect(quarter_gb, \"G$\"), \"goals\", \"behinds\"),\n is_home_score = str_detect(quarter_gb, \"^H\")\n ) |>\n pivot_wider(id_cols = all_of(c(game_level_columns, \"quarter\", \"is_home_score\")), names_from = gb_label, values_from = gb_count) |>\n arrange(game_id, is_home_score, quarter) |> \n group_by(game_id, is_home_score) |> \n mutate(# make quarters incremental\n goals = c(head(goals, 1), diff(goals)),\n behinds = c(head(behinds, 1), diff(behinds))\n ) |> \n ungroup() |> \n mutate(\n score = goals * 6 + behinds,\n team = if_else(is_home_score, Home.team, Away.team),\n opposition = if_else(!is_home_score, Home.team, Away.team)\n ) |> \n select(-is_home_score) -> quarter_stats_tb\n\n\n\n\ngame_level_columns <- c(\"game_id\", \"game_afltables_url\", \"Season\", \"Round\", \"Venue\", \"Home.team\", \"Away.team\", \"Home.score\", \"Away.score\")\n\nquarter_stats_dt <- copy(match_stats_flat_dt)\nquarter_stats_dt <- quarter_stats_dt[, .SD, .SDcols = names(quarter_stats_dt) %like% paste(\n paste(game_level_columns, collapse = \"|\"), \"^HQ\", \"^AQ\", \n sep = \"|\")]\nquarter_stats_dt <- melt(quarter_stats_dt, id.vars = game_level_columns, variable.name = \"quarter_gb\", value.name = \"gb_count\")\n\nquarter_stats_dt[, quarter := str_extract(quarter_gb, \"\\\\d\")]\nquarter_stats_dt[, gb_label := fifelse(str_detect(quarter_gb, \"G$\"), \"goals\", \"behinds\")]\nquarter_stats_dt[, is_home_score := str_detect(quarter_gb, \"^H\")]\n\nquarter_stats_dt[, quarter_gb:=NULL]\nquarter_stats_dt <- dcast(quarter_stats_dt, ... ~ gb_label, value.var = \"gb_count\")\n\n# make quarters incremental\nsetorder(quarter_stats_dt, game_id, is_home_score, quarter)\nquarter_stats_dt[, goals := c(head(goals, 1), diff(goals)), c(\"game_id\", \"is_home_score\")]\nquarter_stats_dt[, behinds := c(head(behinds, 1), diff(behinds)), c(\"game_id\", \"is_home_score\")]\n\nquarter_stats_dt[, score := goals * 6 + behinds]\nquarter_stats_dt[, team := fifelse(is_home_score, Home.team, Away.team)]\nquarter_stats_dt[, opposition := fifelse(!is_home_score, Home.team, Away.team)]\n\nquarter_stats_dt <- quarter_stats_dt[, .SD, .SDcols = c(game_level_columns, c(\"quarter\", \"goals\", \"behinds\", \"score\", \"team\", \"opposition\"))]\n\n# verify outputs match:\nidentical(as.data.frame(quarter_stats_tb), as.data.frame(quarter_stats_dt))\n\n[1] TRUE\n\n\n\n\n\nWe will answer this question for each quarter (first, second, third and fourth), as well as overall. This means we we will be repeating the same process five times, so this calls for writing a function. The function will give us the top 5 scoring quarters, as well as ranking for the aforementioned infamous game on the all time list of quarters.\n\n\nTidyverse\ndata.table\n\n\n\n\nget_top_quarter_scores_tb <- function(data, quarter_selection) {\n data |> \n filter(quarter %in% quarter_selection) |>\n arrange(desc(score)) |> \n mutate(rank = seq_along(team)) |> \n filter(rank %in% 1:5 | (game_id == infamous_game_id & team == \"Sydney\")) |> \n select(rank, team, opposition, score, quarter, Season, Round, Venue, game_afltables_url, game_id)\n}\n\n\n\n\nget_top_quarter_scores_dt <- function(data, quarter_selection) {\n top_quarters_q1_dt <- copy(quarter_stats_dt)\n top_quarters_q1_dt <- top_quarters_q1_dt[\n quarter %in% quarter_selection, ]\n setorder(top_quarters_q1_dt, -score)\n top_quarters_q1_dt[, rank := seq_along(team)]\n top_quarters_q1_dt[rank %in% 1:5 | (game_id == infamous_game_id & team == \"Sydney\"), \n .(rank, team, opposition, score, quarter, Season, Round, Venue, game_afltables_url, game_id)]\n}\n\n\n\n\n\n\n\nFirst Quarter\n\n\nTidyverse\ndata.table\n\n\n\n\ntop_quarter_scores_q1_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 1L)\n\n\n\n\ntop_quarter_scores_q1_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 1L)\n# verify outputs match:\nidentical(as.data.frame(top_quarter_scores_q1_tb), as.data.frame(top_quarter_scores_q1_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nThe record for the highest-scoring first quarter occurred during the bloodbath of an encounter that was the Bombers’ first ever clash with the Gary Ablett Jr.-led Gold Coast Suns in their inaugural season in the AFL. The Bombers came out of the blocks in a flash and mercilessly obliterated the inexperienced Gold Coast side, notching up a blistering 93 point lead at quarter time. Interestingly, the Suns actually managed to win the second quarter as the Bombers appeared to take their foot off the accelerator a little to only win by 139 points when all was said and done.\n\nPerhaps the Suns’ lethargy in the first quarter against the Dons can be explained as a hangover25 following on from their first ever win the previous week26. It is exciting to me that this is a game that I can remember watching on the television at the time, and it may have even been the first Gold Coast game I ever watched27. Footy is full of narratives and it is fun to spin one around this particular game (the context and stories make footy stats even more fun).25 As a club with an abundance of 18 or 19 year old blokes living out of home for the first time, the Suns were known to over-indulge in the Gold Coast party culture in those days.26 Courtesy of a (missed) shot at goal after the siren from Justin Westhoff.27 I am glad that I didn’t give up on watching them after that (mainly due to Gary Ablett I will admit) because otherwise I would have missed unbelievable goals like this.\nSecond Quarter\n\n\nTidyverse\ndata.table\n\n\n\n\ntop_quarter_scores_q2_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 2L)\n\n\n\n\ntop_quarter_scores_q2_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 2L)\n# verify outputs match:\nidentical(as.data.frame(top_quarter_scores_q2_tb), as.data.frame(top_quarter_scores_q2_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nFrom one teams’ first season, to another’s last. It is quite fitting (although sad) that the highest scoring second quarter was against a floundering (aforementioned) fitzRoy Football Club (to which we owe the ease with which we obtained this data) en-route to a wooden spoon in their final season prior to merging with Brisbane Bears to form the Brisbane Lions.\nAs I was not yet born, I do not remember the game, but on the video below, the commentator shrewdly points to a strong wind prevailing towards the Crows’ goal at the beginning of the second quarter which certainly didn’t bode well for the Lions.\n\nThird Quarter\n\n\nTidyverse\ndata.table\n\n\n\n\ntop_quarter_scores_q3_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 3L)\n\n\n\n\ntop_quarter_scores_q3_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 3L)\n# verify outputs match:\nidentical(as.data.frame(top_quarter_scores_q3_tb), as.data.frame(top_quarter_scores_q3_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nThe Swans’ third quarter appears in 28th position here, which is the best position it gets.\nFourth Quarter\n\n\nTidyverse\ndata.table\n\n\n\n\ntop_quarter_scores_q4_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 4L)\n\n\n\n\ntop_quarter_scores_q4_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 4L)\n# verify outputs match:\nidentical(as.data.frame(top_quarter_scores_q4_tb), as.data.frame(top_quarter_scores_q4_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nWell this was slightly unexpected, the Bloods28 came home like a freight train against the woeful Saints in a game that took place over 100 years ago. It is also the only quarter in AFL history that has notched up a ton. Upon seeing this, given its vintage, I thought that perhaps the story of this game might have been lost to time but the Swans have a most insightful article up on their website about it. The explanation in the article claims that St Kilda were undermanned through a combination of injury and player protest on account of off-field disputes. It is safe to say that the “Bloods” showed them no mercy.28 Incorrectly labelled here as “Sydney” in the table above because at the time they resided in South Melbourne (they relocated to Sydney in 1982), they were also known as the “Bloods” prior to adopting their current Swans mascot in 1933 due to the number of Western Australians in the side (as a WA boy I couldn’t help mentioning this)\nAll Quarters\n\n\nTidyverse\ndata.table\n\n\n\n\ntop_quarter_scores_tb <- get_top_quarter_scores_tb(quarter_stats_tb, 1L:4L)\n\n\n\n\ntop_quarter_scores_dt <- get_top_quarter_scores_dt(quarter_stats_tb, 1L:4L)\n# verify outputs match:\nidentical(as.data.frame(top_quarter_scores_tb), as.data.frame(top_quarter_scores_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nIn the infamous game, the Swans’ third quarter 29 was the only one that reached the top 100 quarters of all time. The fact that no quarter was even close to the the top indicates that the Swans were very consistent through-out the game. To use a cliche, they put in a consistent four-quarter effort and I suppose the Eagles were consistent too (consistently dismal).29 i.e. the premiership quarter" - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#most-goal-kickers", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#most-goal-kickers", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Most Goal-kickers", - "text": "Most Goal-kickers\nThree of the aforementioned questions concern goal kickers. We can therefore write a function that can generalise our approach like we did for the previous question.\nThese questions were:\n\nWhat is the record for the most individual goal kickers for a team in a single game?\n\n\nWhat is the record for the most multiple goal kickers for a team in a single game?\n\n\nWhat is the record for the most players kicking five or more goals for a team in a single game (i.e. the most “bags”)?\n\nThe Swans game appeared to have a rather even distribution of goal kickers in the infamous game, so it will be interesting to see where it places on the all time list in this category.\n\n\nTidyverse\ndata.table\n\n\n\n\nget_top_goal_scorers_tb <- function(data, min_goals) {\ndata |> \n mutate(\n team = Playing.for,\n opposition = if_else(team == Home.team, Away.team, Home.team)\n ) |> \n group_by(team, opposition, Season, Round, Venue, game_afltables_url, game_id, Date) |> \n summarise(\n goal_kickers = sum(Goals > min_goals),\n .groups = \"drop\"\n ) |> \n arrange(desc(goal_kickers), desc(Date)) |> \n mutate(rank = seq_along(game_id)) |> \n relocate(rank, .before = \"team\") |> \n relocate(goal_kickers, .before = \"Season\") |> \n filter(rank %in% 1:5|(game_id == infamous_game_id & team == \"Sydney\")) |>\n select(-Date)\n}\n\n\n\n\nget_top_goal_scorers_dt <- function(data, min_goals) {\n top_goal_scorers_dt <- copy(data)\n top_goal_scorers_dt[, team := Playing.for]\n top_goal_scorers_dt[, opposition := fifelse(team == Home.team, Away.team, Home.team)]\n \n top_goal_scorers_dt <- top_goal_scorers_dt[,.(goal_kickers = sum(Goals > min_goals)),\n c(\"team\", \"opposition\", \"Season\", \"Round\", \"Venue\", \n \"game_afltables_url\", \"game_id\", \"Date\")]\n setorder(top_goal_scorers_dt, -goal_kickers, -Date)\n top_goal_scorers_dt[, rank := seq_along(game_id)]\n \n \n top_goal_scorers_dt[rank %in% 1:5|(game_id == infamous_game_id & team == \"Sydney\"),\n .(rank, team, opposition, goal_kickers, Season, Round, Venue, \n game_afltables_url, game_id)]\n}\n\n\n\n\n\n\n\nIndividual\n\n\nTidyverse\ndata.table\n\n\n\n\ntop_goal_scorers_single_tb <- get_top_goal_scorers_tb(player_stats_tb, 0L)\n\n\n\n\ntop_goal_scorers_single_dt <- get_top_goal_scorers_dt(player_stats_dt, 0L)\n# verify outputs match:\nidentical(as.data.frame(top_goal_scorers_single_tb), as.data.frame(top_goal_scorers_single_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nThe record for most goal kickers is actually tied by multiple teams. The most recent time this happened was in the Bulldogs’ 101 point drubbing of the Eagles last year30. The infamous game is a bit off the pace in 238th but 12 goal-kickers is still double a starting forward line.30 Yet another example of how poorly the Eagles have performed in 2022 and 2023\nMultiple\n\n\nTidyverse\ndata.table\n\n\n\n\ntop_goal_scorers_multiple_tb <- get_top_goal_scorers_tb(player_stats_tb, 1L)\n\n\n\n\ntop_goal_scorers_multiple_dt <- get_top_goal_scorers_dt(player_stats_dt, 1L)\n# verify outputs match:\nidentical(as.data.frame(top_goal_scorers_multiple_tb), as.data.frame(top_goal_scorers_multiple_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nThe Swans game actually places equal 7th on the list of all time which is quite a notable result. It is also interesting that it was a similarly one-sided Swans game31 at the SCG that takes outright top spot. In that game (circa 1987) the human highlight reel Warwick Capper led all comers for the Swans with a bag of 6 snags.31 Full game, article\nFive or More (Bags)\n\n\nTidyverse\ndata.table\n\n\n\n\ntop_goal_scorers_bags_tb <- get_top_goal_scorers_tb(player_stats_tb, 4L)\n\n\n\n\ntop_goal_scorers_bags_dt <- get_top_goal_scorers_dt(player_stats_dt, 4L)\n# verify outputs match:\nidentical(as.data.frame(top_goal_scorers_bags_tb), as.data.frame(top_goal_scorers_bags_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nFour bags in one game has happened on two occasions, the most recent of which (in 1991) yet again featured the Fitzroy Lions, who were trounced by 157 points by the Hawks in North Hobart.\nThe list of bag-getters in this game makes for interesting reading, all were recognisable names (although one more for his family connections that his own merit). As one might expect, one of the bags was courtesy of Hawthorn spearhead Jason Duntall (6 snags), along with 7 apiece from WA boy Ben Allan32 and the three-time premiership player Darren Jarmon. Rounding out the four was a contribution of 5 snags from Paul Hudson, who is the son of Tasmanian footy legend Peter Hudson (how fitting that this game was played in Tassie) who averaged more than 5 goals a game himself (an incredible feat).32 Sorry I couldn’t help myself, he was also a Claremont Tiger (up the mighty Tiges)" - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#questions-about-questionable-disposal", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#questions-about-questionable-disposal", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Questions About Questionable Disposal", - "text": "Questions About Questionable Disposal\nTwo of the questions concerned clangers and disposal efficiency:\n\nWhat is the record for the most clangers in a game?\n\n\nWhat is the record for the worst disposal efficiency in a game?\n\nThese statistics (which we will define below) are more advanced and have only been recorded more recently, so we will therefore have to check which data sources to use and what years they are available for.\nMost Clangers\nA clanger is defined as:\n\nan absurd or embarrassing blunder.\n\nOr in more precise football statistics terms:\n\nAn error made by a player resulting in a negative result for his side. Disposal clangers are any kick or handball that directly turns the ball over to the opposition. Frees and 50-metre penalties against, No Pressure Errors, Dropped Marks and Debits are all included in clangers.\nSource: Champion Data.\n\nClanger data is available on the AFL Tables data from 1998 onwards, so we will have to make do with only recent memory.\n\n\nTidyverse\ndata.table\n\n\n\n\nplayer_stats_tb |> \n filter(!is.na(Clangers)) |> \n group_by(Home.team, Away.team, Season, Round, Venue, game_afltables_url, game_id) |> \n summarise(\n clangers = sum(Clangers),\n .groups = \"drop\"\n ) |> \n arrange(desc(clangers), Season, Round) |> \n mutate(\n rank = seq_along(clangers)\n ) |> \n filter(rank %in% 1:5 | game_id == infamous_game_id) |> \n select(\n rank, game_id, Home.team, Away.team, clangers, Season, Round, Venue, game_afltables_url\n ) -> most_clangers_tb\n\n\n\n\nmost_clangers_dt <- copy(player_stats_dt)\nmost_clangers_dt <- most_clangers_dt[!is.na(Clangers),]\nmost_clangers_dt <- most_clangers_dt[, .(clangers = sum(Clangers)), c(\"Home.team\", \"Away.team\", \"Season\", \"Round\", \"Venue\", \"game_afltables_url\", \"game_id\")]\nsetorder(most_clangers_dt, -clangers, Season, Round)\nmost_clangers_dt[,rank := seq_along(clangers)]\nmost_clangers_dt <- most_clangers_dt[rank %in% 1:5 | game_id == infamous_game_id,]\nmost_clangers_dt <- most_clangers_dt[, .(rank, game_id, Home.team, Away.team, clangers, Season, Round, Venue, game_afltables_url)]\n# verify outputs match:\nidentical(as.data.table(most_clangers_tb), as.data.table(most_clangers_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nA lot of the games in the top 5 are from very recent years, probably highlighting the more recent trend in teams rolling the dice more with possession (high risk, high reward), as popularised by Richmond and adopted to great success of late by the Magpies. Having spot-checked a few examples, there is also a bit of a pattern of wet weather impacting these games it would seem.\nAlso notable in the top 5 is one of three games played in Shanghai as part of the AFL’s attempt at entering into the Chinese market between 2017 and 2019. While there was some rain about, one might presume from this that the Suns and Port didn’t put on a particularly impressive display of our game on that occasion, either that or they were putting on an entertaining show with plenty of high-risk, high-reward plays. The video highlights appear to be reasonably exciting, so I am going to assume the latter.\nWorst Disposal Efficiency\nDisposal efficiency is\n\nthe percentage of disposals that are effective.33\n\n\nWhere effective disposal is any of:\n\n\nEffective handball: a handball to a teammate that hits the intended target.\nEffective Short Kick: A kick of less than 40 metres that results in the intended target retaining possession. Does not include kicks that are spoiled by the opposition.\nEffective Long Kick: A kick of more than 40 metres to a 50/50 contest or better for the team.34\n\n\n\n\nNote how the distance of the disposal is an element of how lenient the definition of “effective” is.\nThis statistic requires our first (and only) use of the Fryzigg data, as disposal efficiency is not present on the AFL Tables data. While the Fryzigg data has the full history of the AFL, disposal efficiency is missing for seasons prior to 2012 onwards. We will therefore have to make do with answering this question only for about the past decade.\n\n\nTidyverse\ndata.table\n\n\n\n\nplayer_stats_fryzigg_tb |> \n filter(!is.na(disposal_efficiency_percentage)) |> \n mutate(\n home_team_code = get_team_code(match_home_team),\n away_team_code = get_team_code(match_away_team),\n season = str_sub(match_date, 1, 4),\n afl_tables_game_id = get_game_id(home_team_code, away_team_code, as.Date(match_date)),\n afl_tables_url = get_game_afltables_url(afl_tables_game_id, season)\n ) |>\n group_by(afl_tables_game_id, match_home_team, match_away_team, venue_name, season, match_round, afl_tables_url) |> \n summarise(\n disposal_efficiency_game = sum(disposal_efficiency_percentage * disposals) / sum(disposals) / 100,\n .groups = \"drop\"\n ) |> \n arrange(disposal_efficiency_game) |> \n mutate(\n rank = seq_along(disposal_efficiency_game)\n ) |> \n filter(rank %in% 1:5 | afl_tables_game_id == infamous_game_id) |> \n select(\n rank, afl_tables_game_id, match_home_team, match_away_team, disposal_efficiency_game, season, match_round, venue_name, afl_tables_url\n ) -> worst_disposal_efficiency_games_tb\n\n\n\n\nworst_disposal_efficiency_games_dt <- copy(player_stats_fryzigg_dt)\nworst_disposal_efficiency_games_dt <- worst_disposal_efficiency_games_dt[!is.na(disposal_efficiency_percentage), ]\nworst_disposal_efficiency_games_dt[, home_team_code := get_team_code(match_home_team)]\nworst_disposal_efficiency_games_dt[, away_team_code := get_team_code(match_away_team)]\nworst_disposal_efficiency_games_dt[, season := str_sub(match_date, 1, 4)]\nworst_disposal_efficiency_games_dt[, afl_tables_game_id := get_game_id(home_team_code, away_team_code, as.Date(match_date))]\nworst_disposal_efficiency_games_dt[, afl_tables_url := get_game_afltables_url(afl_tables_game_id, season)]\n\nworst_disposal_efficiency_games_dt <- worst_disposal_efficiency_games_dt[,\n .(disposal_efficiency_game = sum(disposal_efficiency_percentage * disposals) / sum(disposals) / 100),\n c(\"afl_tables_game_id\", \"match_home_team\", \"match_away_team\", \"venue_name\", \"season\", \"match_round\", \"afl_tables_url\")\n ]\n\nsetorder(worst_disposal_efficiency_games_dt, disposal_efficiency_game)\nworst_disposal_efficiency_games_dt[, rank := seq_along(disposal_efficiency_game)]\nworst_disposal_efficiency_games_dt <- worst_disposal_efficiency_games_dt[rank %in% 1:5 | afl_tables_game_id == infamous_game_id,]\nworst_disposal_efficiency_games_dt <- worst_disposal_efficiency_games_dt[, .(rank, afl_tables_game_id, match_home_team, match_away_team, disposal_efficiency_game, season, match_round, venue_name, afl_tables_url)]\n\n# verify outputs match:\nidentical(as.data.table(worst_disposal_efficiency_games_tb), as.data.table(worst_disposal_efficiency_games_dt))\n\n[1] TRUE\n\n\n\n\n\n\n\n\n\n\n\n\n\nThe only game with less than 50% disposal efficiency was played in torrid conditions up in Cairns. Looking at the video highlights, the players were running through puddles the whole game. I have however seen equal or worse conditions in the past, so it is somewhat curious that this was the worst by such a margin. For reference, Gold Coast were very poor that year, coming second last but the Roos came in a respectable ninth position (only one win and percentage outside the top 8), this also points to them probably winning this game if has been played in more favourable conditions, but they still would have missed out on finals due to the mammoth percentage of the Cats that year. The “cleanest” player on the day was Jesse Joyce, whose 8 touches came at 75% efficiency (however it was a rather low sample size).\nFurther disjointed musings:\n\nSeeing a game in 2018 is also a fun reminder of the last time the Eagles won a premiership, which feels a long way off given the current predicament the club is in, in spite of their recent win against the similarly languishing35 Roos last Sunday.\n\n35 But far more optimistic due to a combination of Clarko (he returns from his hiatus this week) and promising talent on their list such as Harry Sheezel\nIn the 20th century, the use of suburban grounds where the quality of the surface was subpar I am sure led to far more games with lower disposal efficiency than this (muddy fields were far more common in those days).\nWe can’t entirely blame the players, given the conditions. Anyone who has kicked a footy around in the wet will know how much heavier and slipperier than usual it can get (it is often described as being like a bar of soap). By looking through old highlights packages of the top several games in this metric, all of them appear to have been impacted significantly by weather conditions.\nThe Fryzigg data actually has weather conditions as a field on it but it appears to be somewhat unreliable, when cross referencing the games with match reports and highlights, some of the “sunny” games turned out to be played in torrential rain.\nI also checked which players have the highest career kicking efficiency and it appears to be mostly defenders who probably inflate their numbers by getting involved in switches of play and chipping the ball around the back line. So we have to take this kind of metric with a grain of salt, there is a certain difficulty level with executing certain types of disposal (e.g. a kick inside 50) that it does not fully capture." - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#youngest-norm-smith-medalist", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#youngest-norm-smith-medalist", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Youngest Norm Smith Medalist", - "text": "Youngest Norm Smith Medalist\nOur question regarding Norm Smith medallists from above reads:\n\nWho was the youngest player to win a Norm Smith Medal?\n\n\n\n\n\n\n\nBackground on the Norm Smith Medal\n\n\n\n\nThe Norm Smith Medal is awarded to the player who is adjudged best on ground in the AFL grand final.\nThe award is named after legendary Melbourne full forward of the 1940’s and coach of the 1950’s and 1960’s, Norm Smith. In his decorated career, he won a total of 10 premierships, 4 as a player, 6 as coach and all for the Melbourne football club (given Melbourne have only won 13 in their history, quite a feat). At the back end of his playing career, he spent two years as captain-coach (yes that was a thing at the time) of the Fitzroy football club (here they pop up again).\nThe Norm Smith medal is usually given to a player on the winning team but very occasionally, players have managed to win the award in a losing side, the last time being 4 out of 45 times and the last time was Eagles (and Carlton) superstar Chris Judd in 2005.\nThe Norm Smith Medal was first instituted in 1979. Prior to this, there was no official award given, however the media and fans of the day had their opinions of who the best on ground was in prior grand finals. While this article lists some “unofficial” best on ground performances in grand finals prior to 1979, I will stick with the official list. As a Western Australian, I would have no qualms with discarding the older, exclusively Victorian seasons particularly as this data is of dubious reliability.\n\n\n\nAs previously mentioned, Norm Smith Medal data is not available on fitzRoy, so we will have to scrape it with some of our own bespoke code36. The AFL website conveniently has a nice table, listing all the winners since the award began in 1979. We will supplement this with data from fitzRoy to figure out the level of experience of each player.36 This illustrates the fact that sometimes you need to stray outside of fitzRoy but it gives most of the footy data you could ever want.\n\n\n\n\n\n\nNo data.table code\n\n\n\nWhile all the other code has thus far been written in both tidyverse and data.table, I decided to leave it for this one as it was rather intricate and painful to perform the same process twice.\n\n\n\nnorm_smith_url <- \"https://www.afl.com.au/stats/leaders-awards/norm-smith-medal\"\nnorm_smith_html <- read_html(norm_smith_url)\n\nnorm_smith_html |> \n html_table(header = TRUE) |> \n _[[1]] |> \n mutate( #manually adjust to help mapping\n Club = case_when(\n Club == \"Geelong Cats\" ~ \"Geelong\",\n Club == \"West Coast Eagles\" ~ \"West Coast\",\n Club == \"Sydney Swans\" ~ \"Sydney\",\n TRUE ~ Club\n ),\n Player = case_when(\n Player == \"Billy Duckworth\" ~ \"Bill Duckworth\",\n Player == \"Ryan O'Keefe\" ~ \"Ryan OKeefe\",\n TRUE ~ Player \n ),\n Year = as.integer(str_sub(Year, 1, 4))\n ) -> norm_smith_tb\n\n# get the date of their first game\nplayer_stats_tb |> \n group_by(\n player_afltables_url, Playing.for\n ) |> \n summarise(\n first_game_date = min(Date),\n .groups = \"drop\"\n ) -> more_player_details\n\n# get games played to date\nplayer_stats_tb |> \n group_by(ID) |> \n arrange(Date) |> \n mutate(\n games_played_to_date = seq_along(ID)\n ) |> \n ungroup() -> \n player_stats_tb_games_played\n\n# get grand final information\nplayer_stats_tb_games_played |>\n filter(\n Round == \"GF\",\n Season >= 1979\n ) |>\n mutate(\n player_name = paste(First.name, Surname),\n on_winning_team = (Home.team == Playing.for & Home.score > Away.score) | (Away.team == Playing.for & Home.score < Away.score)\n ) |> \n select(ID, player_name, Playing.for, game_afltables_url, player_afltables_url, grand_final_season = Season, grand_final_date = Date, games_played_to_date, on_winning_team) ->\n grand_final_tb\n\ngrand_final_tb |> \n select(grand_final_date) |>\n distinct() |> \n arrange(desc(grand_final_date)) |> \n pull(grand_final_date) ->\n grand_final_dates\n \nplayer_details_tb |> \n mutate(\n first_year = str_sub(Seasons, 1, 4)\n ) -> \n player_details_tb_joinable\n\n\nnorm_smith_tb |> \n mutate(Date = grand_final_dates) |> \n left_join(\n grand_final_tb, by = c(\"Player\" = \"player_name\", \"Club\" = \"Playing.for\", \"Date\" = \"grand_final_date\") \n ) |> \n left_join(\n more_player_details, by = c(\"player_afltables_url\", \"Club\" = \"Playing.for\")\n ) |> \n mutate(\n first_year = format(first_game_date, \"%Y\")\n ) |> \n left_join(\n player_details_tb_joinable, by = c(\"Player\", \"Club\" = \"Team\", \"first_year\")\n ) |>\n mutate(\n debut_age_years = as.integer(str_sub(Debut, 1, 2)),\n debut_age_days = as.integer(str_remove_all(Debut, \".*y |d\")),\n date_of_birth = first_game_date - years(debut_age_years) - days(debut_age_days),\n age_at_grand_final = as.period(interval(start = date_of_birth, end = Date)),\n age_at_grand_final_seconds = as.period(interval(start = date_of_birth, end = Date))\n ) |>\n arrange(age_at_grand_final ) |>\n select(\n Player, Club, Year, on_winning_team, games_played_to_date, age_at_grand_final, age_at_grand_final_seconds, player_afltables_url, game_afltables_url) -> norm_smith_youngest_tb\n\n\n\n\n\n\n\n\n\nThe youngest player on the list is the inaugural winner, Wayne Harmes, who was only 19 years of age when he won the prestigious award. He is known for a legendary moment during this match, where, towards the end of the fourth quarter, he ran down his own (errant) kick by sliding along the ground and tapping the ball to keep it in play, sending it into the path of his team mate Ken Sheldon who ran into the open goal. The goal ended up being a decisive one as the Blues came out as victors by only 5 points.\n\nThe most inexperienced in terms of games played was Maurice Rioli (father of Maurice Jr. who is currently plying his trade at his old man’s club), member of the famous Rioli family of the Tiwi Islands which has uncannily produced a plethora of great footballers and premiership players. He was the first (and arguably the greatest) Rioli to ever play in the AFL/VFL. One caveat is that while at the time he had only played 21 VFL games, he was 24 years of age and had previously played 6 years of WAFL footy37 for South Fremantle, so he wasn’t your typical 21 game player, he was really in his prime.37 At this time (prior to a national competition), WAFL football (as well as the SANFL in South Australia) could be viewed as being at a similar level to the VFL (although VFL did benefit from having the larger population in Victoria as a talent pool). While these days, the WAFL is the tier below the AFL (like the English Championship is the to Premier League), at that time, it could instead be viewed as a competition that was the best within its own region (like Serie A is to La Liga)." - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#closing-remarks", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#closing-remarks", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Closing Remarks", - "text": "Closing Remarks\nTo mention one last record, the margin of 171 in the infamous game is actually the equal 4th highest winning margin in a AFL/VFL game. Interestingly, the all-time record in this category comes full circle, being a game between the Fitzroy Lions and the Melbourne Demons back in 1979. Fittingly, the victor of this game, was our friends (for whom we owe the greatest gratitude for helping us import data), the mighty fitzRoy footy club by a whopping 190 points. So while they had their trials and tribulations as a club (some of which we have covered in this post), it is nice to finish with them on a high note.\nInterestingly, the aforementioned infamous game isn’t the record-holder (or even in the top 5) for any of our questions38 but it is only one of 31 games where a team has scored 200 points or more which is notable enough I think, particularly given I had the (mis-)fortune of witnessing such a rare event in the flesh. Perhaps we could dig deeper to find a record it holds (every game is uniquely remarkable in some way if you look hard enough) but I somehow find more satisfaction in it being a thought-provoking enough game to coax these questions out of us without it ever being the answer.38 the closest it came was in the most multiple goal kickers category at equal 7th" - }, - { - "objectID": "blog/2023/over-analysing-idle-footy-chat/index.html#notable-afl-stats-figures", - "href": "blog/2023/over-analysing-idle-footy-chat/index.html#notable-afl-stats-figures", - "title": "(Over-)Analysing Idle Footy Chat", - "section": "Notable AFL Stats Figures", - "text": "Notable AFL Stats Figures\nI will conclude by listing some people who are doing interesting work with AFL stats (often with heavy use of R and the fitzRoy package) to provide further motivation:\n\nfitzRoy: as outlined in this article, this R package is the de facto way of sourcing AFL data.\nUseless AFL Stats: a Facebook page which shares always interesting, sometimes abstract and often amusing AFL stats content. Liam Crow is their data scientist and posts some interesting content of his own on his website: https://www.crowdatascience.com.\nsquiggle.com.au: displays a bunch of people’s data-driven tipping models, many of which have websites and social media accounts where they do AFL stats.\nJaiden Popowski: is prominent in the AFL Fantasy community for the interesting data-driven analysis he produces.\nDFS Australia: has some great data-driven tools that provide insight on advanced stats commonly used in AFL Fantasy." - }, - { - "objectID": "blog/index.html", - "href": "blog/index.html", - "title": "Blog", - "section": "", - "text": "Sport\n\n\nAFL\n\n\nR\n\n\nData\n\n\n\n\nThis blog post discusses the types of questions one often posits while watching the footy (or indeed any sport). I will use this article as a medium through which I can introduce analysis of AFL data in R.\n\n\n\n\n\n\n3 August 2023\n\n\nTim Gummer\n\n\n66 min\n\n\n\n\n\n\nNo matching items" - }, - { - "objectID": "blog/index.html#section", - "href": "blog/index.html#section", - "title": "Blog", - "section": "", - "text": "Sport\n\n\nAFL\n\n\nR\n\n\nData\n\n\n\n\nThis blog post discusses the types of questions one often posits while watching the footy (or indeed any sport). I will use this article as a medium through which I can introduce analysis of AFL data in R.\n\n\n\n\n\n\n3 August 2023\n\n\nTim Gummer\n\n\n66 min\n\n\n\n\n\n\nNo matching items" - }, - { - "objectID": "cv/index.html#download", - "href": "cv/index.html#download", - "title": "Curriculum Vitae", - "section": "Download", - "text": "Download\n\n\n\n\n \n  Download current CV" - }, - { - "objectID": "cv/index.html#colophon", - "href": "cv/index.html#colophon", - "title": "Curriculum Vitae", - "section": "Colophon", - "text": "Colophon\n\nHow the CV(ausage) is made.\n\nMy resume was built in a “data-driven” fashion using the vitae R package and Excel1. It uses the beautiful Awesome CV template which I previously used in pure \\(\\LaTeX\\).1 Note that the linked YouTube video does not use Excel but I do.\nSharing\nIt is currently in a private repository on GitHub as it has some private information in it. There is also a visually consistent template for writing (cover) letters as well. I am happy to share the code with anyone who is interested. It probably is best suited to those familiar with \\(\\LaTeX\\), R and Excel2.2 I am not sure how large the intersection between these skill sets is but I personally find the workflow and resulting look very satisfying.\nIn the future I may make a clean template in a public repository to share with an accompanying blog post on how to use the template." - }, - { - "objectID": "cv/index.html#bit-of-fun", - "href": "cv/index.html#bit-of-fun", - "title": "Curriculum Vitae", - "section": "Bit of Fun", - "text": "Bit of Fun\nUnfortunately I do not have a video CV." - }, - { - "objectID": "goals/index.html#table-legend", - "href": "goals/index.html#table-legend", - "title": "Goals", - "section": "Table Legend", - "text": "Table Legend\nBelow is a legend for the Status and Completion fields." - }, - { - "objectID": "index.html", - "href": "index.html", - "title": "Tim Gummer", - "section": "", - "text": "Github\n \n \n \n LinkedIn\n \n \n \n Email\n \n\n \n \n\nYou have reached the personal website of Tim Gummer. I am an Associate of Institute of Actuaries of Australia (AIAA). I am currently taking an 18 month leave of absence from my job as an Actuarial Analyst at Finity Consulting in order to spend more time on my actuarial studies (to become a fellow), with my family and on personal projects.\nI have built this website as a fun project. I would like to use it to chronicle some of my side projects. I enjoy these projects for their own sake and the main benefit I get out of them is learning and the satisfaction of building something cool. I hope that this website will provide me with further motivation to work on these projects (as well as being an enjoyable project in and of itself).\n\nThe content of this site will mix and match combinations of some of my particular interests/skills listed below:\n\nTools/Languages: R, VBA, Excel, \\(\\LaTeX\\), Python\nMethods: Statistics, Data Science (Collection, Visualisation, Modelling), Mathematics\nApplications: Sport (Australian Rules Football, Cricket)" - }, - { - "objectID": "index.html#welcome-to-my-website", - "href": "index.html#welcome-to-my-website", - "title": "Tim Gummer", - "section": "", - "text": "You have reached the personal website of Tim Gummer. I am an Associate of Institute of Actuaries of Australia (AIAA). I am currently taking an 18 month leave of absence from my job as an Actuarial Analyst at Finity Consulting in order to spend more time on my actuarial studies (to become a fellow), with my family and on personal projects.\nI have built this website as a fun project. I would like to use it to chronicle some of my side projects. I enjoy these projects for their own sake and the main benefit I get out of them is learning and the satisfaction of building something cool. I hope that this website will provide me with further motivation to work on these projects (as well as being an enjoyable project in and of itself).\n\nThe content of this site will mix and match combinations of some of my particular interests/skills listed below:\n\nTools/Languages: R, VBA, Excel, \\(\\LaTeX\\), Python\nMethods: Statistics, Data Science (Collection, Visualisation, Modelling), Mathematics\nApplications: Sport (Australian Rules Football, Cricket)" - }, - { - "objectID": "index.html#session-info", - "href": "index.html#session-info", - "title": "Tim Gummer", - "section": "Session info", - "text": "Session info\n\nsessionInfo()\n\nR version 4.3.1 (2023-06-16 ucrt)\nPlatform: x86_64-w64-mingw32/x64 (64-bit)\nRunning under: Windows 11 x64 (build 22621)\n\nMatrix products: default\n\n\nlocale:\n[1] LC_COLLATE=English_Australia.utf8 LC_CTYPE=English_Australia.utf8 \n[3] LC_MONETARY=English_Australia.utf8 LC_NUMERIC=C \n[5] LC_TIME=English_Australia.utf8 \n\ntime zone: Australia/Sydney\ntzcode source: internal\n\nattached base packages:\n[1] stats graphics grDevices utils datasets methods base \n\nloaded via a namespace (and not attached):\n [1] htmlwidgets_1.6.2 compiler_4.3.1 fastmap_1.1.1 cli_3.6.1 \n [5] tools_4.3.1 htmltools_0.5.5 rstudioapi_0.14 yaml_2.3.7 \n [9] rmarkdown_2.22 knitr_1.43 jsonlite_1.8.5 xfun_0.39 \n[13] digest_0.6.31 rlang_1.1.1 evaluate_0.21 \n\nSys.time()\n\n[1] \"2023-07-25 15:41:36 AEST\"" - }, - { - "objectID": "projects/index.html", - "href": "projects/index.html", - "title": "Projects", - "section": "", - "text": "RADins R package\n\n\n\nR\n\n\nAutomation\n\n\n\nAn R package containing a collection of RStudio add-ins. This includes one to paste windows file paths in R by replacing backslashes with forward slashes.\n\n\n\n\n\n\n\n\n\n\nbit in that\n\n\n\nR\n\n\nFooty\n\n\nStats\n\n\nFantasy\n\n\n\nA website dedicated to AFL Stats. The content on the website is predominately AFLW Fantasy-related but I will look to expand it in the future.\n\n\n\n\n\n\n\nNo matching items\n\n\n\n\n\n\n Back to top" - } -] \ No newline at end of file diff --git a/_site_rendered/site_libs/bootstrap/bootstrap-dark.min.css b/_site_rendered/site_libs/bootstrap/bootstrap-dark.min.css deleted file mode 100644 index 47888b8..0000000 --- a/_site_rendered/site_libs/bootstrap/bootstrap-dark.min.css +++ /dev/null @@ -1,10 +0,0 @@ -@import'https://fonts.googleapis.com/css?family=PT+Sans:400,700';@import'https://fonts.googleapis.com/css?family=PT+Serif:400,700';@import'https://fonts.googleapis.com/css?family=PT+Mono';@import'https://fonts.googleapis.com/css?family=Montserrat:400,700';@import'https://fonts.googleapis.com/css?family=EB+Garamond:400,700';@import'https://fonts.googleapis.com/css?family=Fira+Code:400';@import'https://fonts.googleapis.com/css?family=Inconsolata:400';/*! - * Bootstrap v5.1.3 (https://getbootstrap.com/) - * Copyright 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[body-content-end] 1.5em [body-end] 35px [body-end-outset] minmax(75px, 145px) [page-end-inset] 35px [page-end] 4fr [screen-end-inset] 1.5em [screen-end]}body.floating.listing .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em [screen-start-inset] 5fr [page-start page-start-inset body-start-outset body-start] 1em [body-content-start] minmax(500px, calc( 950px - 3em )) [body-content-end] 1.5em [body-end] 50px [body-end-outset] minmax(75px, 150px) [page-end-inset] 25px [page-end] 4fr [screen-end-inset] 1.5em [screen-end]}}@media(max-width: 767.98px){body .page-columns,body.fullcontent:not(.floating):not(.docked) .page-columns,body.slimcontent:not(.floating):not(.docked) .page-columns,body.docked .page-columns,body.docked.slimcontent .page-columns,body.docked.fullcontent .page-columns,body.floating .page-columns,body.floating.slimcontent .page-columns,body.floating.fullcontent .page-columns{display:grid;gap:0;grid-template-columns:[screen-start] 1.5em 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0===i&&(i={x:0,y:0}),{top:t.top-e.height-i.y,right:t.right-e.width+i.x,bottom:t.bottom-e.height+i.y,left:t.left-e.width-i.x}}function Se(t){return[mt,_t,gt,bt].some((function(e){return t[e]>=0}))}const Ne={name:"hide",enabled:!0,phase:"main",requiresIfExists:["preventOverflow"],fn:function(t){var e=t.state,i=t.name,n=e.rects.reference,s=e.rects.popper,o=e.modifiersData.preventOverflow,r=ke(e,{elementContext:"reference"}),a=ke(e,{altBoundary:!0}),l=De(r,n),c=De(a,s,o),h=Se(l),d=Se(c);e.modifiersData[i]={referenceClippingOffsets:l,popperEscapeOffsets:c,isReferenceHidden:h,hasPopperEscaped:d},e.attributes.popper=Object.assign({},e.attributes.popper,{"data-popper-reference-hidden":h,"data-popper-escaped":d})}},Ie={name:"offset",enabled:!0,phase:"main",requires:["popperOffsets"],fn:function(t){var e=t.state,i=t.options,n=t.name,s=i.offset,o=void 0===s?[0,0]:s,r=Lt.reduce((function(t,i){return t[i]=function(t,e,i){var n=Ut(t),s=[bt,mt].indexOf(n)>=0?-1:1,o="function"==typeof 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0===p?0:p,g=ke(e,{boundary:l,rootBoundary:c,padding:d,altBoundary:h}),_=Ut(e.placement),b=ce(e.placement),v=!b,y=ee(_),w="x"===y?"y":"x",E=e.modifiersData.popperOffsets,A=e.rects.reference,T=e.rects.popper,O="function"==typeof m?m(Object.assign({},e.rects,{placement:e.placement})):m,C={x:0,y:0};if(E){if(o||a){var k="y"===y?mt:bt,L="y"===y?gt:_t,x="y"===y?"height":"width",D=E[y],S=E[y]+g[k],N=E[y]-g[L],I=f?-T[x]/2:0,P=b===wt?A[x]:T[x],j=b===wt?-T[x]:-A[x],M=e.elements.arrow,H=f&&M?Kt(M):{width:0,height:0},B=e.modifiersData["arrow#persistent"]?e.modifiersData["arrow#persistent"].padding:{top:0,right:0,bottom:0,left:0},R=B[k],W=B[L],$=oe(0,A[x],H[x]),z=v?A[x]/2-I-$-R-O:P-$-R-O,q=v?-A[x]/2+I+$+W+O:j+$+W+O,F=e.elements.arrow&&te(e.elements.arrow),U=F?"y"===y?F.clientTop||0:F.clientLeft||0:0,V=e.modifiersData.offset?e.modifiersData.offset[e.placement][y]:0,K=E[y]+z-V-U,X=E[y]+q-V;if(o){var Y=oe(f?ne(S,K):S,D,f?ie(N,X):N);E[y]=Y,C[y]=Y-D}if(a){var Q="x"===y?mt:bt,G="x"===y?gt:_t,Z=E[w],J=Z+g[Q],tt=Z-g[G],et=oe(f?ne(J,K):J,Z,f?ie(tt,X):tt);E[w]=et,C[w]=et-Z}}e.modifiersData[n]=C}},requiresIfExists:["offset"]};function Me(t,e,i){void 0===i&&(i=!1);var n=zt(e);zt(e)&&function(t){var e=t.getBoundingClientRect();e.width,t.offsetWidth,e.height,t.offsetHeight}(e);var s,o,r=Gt(e),a=Vt(t),l={scrollLeft:0,scrollTop:0},c={x:0,y:0};return(n||!n&&!i)&&(("body"!==Rt(e)||we(r))&&(l=(s=e)!==Wt(s)&&zt(s)?{scrollLeft:(o=s).scrollLeft,scrollTop:o.scrollTop}:ve(s)),zt(e)?((c=Vt(e)).x+=e.clientLeft,c.y+=e.clientTop):r&&(c.x=ye(r))),{x:a.left+l.scrollLeft-c.x,y:a.top+l.scrollTop-c.y,width:a.width,height:a.height}}function He(t){var e=new Map,i=new Set,n=[];function s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Re(){for(var t=arguments.length,e=new Array(t),i=0;ij.on(t,"mouseover",d))),this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),j.trigger(this._element,"shown.bs.dropdown",t)}hide(){if(c(this._element)||!this._isShown(this._menu))return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){j.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented||("ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),U.removeDataAttribute(this._menu,"popper"),j.trigger(this._element,"hidden.bs.dropdown",t))}_getConfig(t){if(t={...this.constructor.Default,...U.getDataAttributes(this._element),...t},a(Ue,t,this.constructor.DefaultType),"object"==typeof t.reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ue.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(t){if(void 0===Fe)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let e=this._element;"parent"===this._config.reference?e=t:o(this._config.reference)?e=r(this._config.reference):"object"==typeof this._config.reference&&(e=this._config.reference);const i=this._getPopperConfig(),n=i.modifiers.find((t=>"applyStyles"===t.name&&!1===t.enabled));this._popper=qe(e,this._menu,i),n&&U.setDataAttribute(this._menu,"popper","static")}_isShown(t=this._element){return t.classList.contains(Je)}_getMenuElement(){return V.next(this._element,ei)[0]}_getPlacement(){const t=this._element.parentNode;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=V.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(l);i.length&&v(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(t&&(2===t.button||"keyup"===t.type&&"Tab"!==t.key))return;const e=V.find(ti);for(let i=0,n=e.length;ie+t)),this._setElementAttributes(di,"paddingRight",(e=>e+t)),this._setElementAttributes(ui,"marginRight",(e=>e-t))}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=`${i(Number.parseFloat(s))}px`}))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(di,"paddingRight"),this._resetElementAttributes(ui,"marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)}))}_applyManipulationCallback(t,e){o(t)?e(t):V.find(t,this._element).forEach(e)}isOverflowing(){return this.getWidth()>0}}const pi={className:"modal-backdrop",isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},mi={className:"string",isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"},gi="show",_i="mousedown.bs.backdrop";class bi{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&u(this._getElement()),this._getElement().classList.add(gi),this._emulateAnimation((()=>{_(t)}))):_(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove(gi),this._emulateAnimation((()=>{this.dispose(),_(t)}))):_(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...pi,..."object"==typeof t?t:{}}).rootElement=r(t.rootElement),a("backdrop",t,mi),t}_append(){this._isAppended||(this._config.rootElement.append(this._getElement()),j.on(this._getElement(),_i,(()=>{_(this._config.clickCallback)})),this._isAppended=!0)}dispose(){this._isAppended&&(j.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){b(t,this._getElement(),this._config.isAnimated)}}const vi={trapElement:null,autofocus:!0},yi={trapElement:"element",autofocus:"boolean"},wi=".bs.focustrap",Ei="backward";class Ai{constructor(t){this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}activate(){const{trapElement:t,autofocus:e}=this._config;this._isActive||(e&&t.focus(),j.off(document,wi),j.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),j.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,j.off(document,wi))}_handleFocusin(t){const{target:e}=t,{trapElement:i}=this._config;if(e===document||e===i||i.contains(e))return;const n=V.focusableChildren(i);0===n.length?i.focus():this._lastTabNavDirection===Ei?n[n.length-1].focus():n[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ei:"forward")}_getConfig(t){return t={...vi,..."object"==typeof t?t:{}},a("focustrap",t,yi),t}}const Ti="modal",Oi="Escape",Ci={backdrop:!0,keyboard:!0,focus:!0},ki={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"},Li="hidden.bs.modal",xi="show.bs.modal",Di="resize.bs.modal",Si="click.dismiss.bs.modal",Ni="keydown.dismiss.bs.modal",Ii="mousedown.dismiss.bs.modal",Pi="modal-open",ji="show",Mi="modal-static";class Hi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._dialog=V.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new fi}static get Default(){return Ci}static get NAME(){return Ti}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||j.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add(Pi),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),j.on(this._dialog,Ii,(()=>{j.one(this._element,"mouseup.dismiss.bs.modal",(t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)}))})),this._showBackdrop((()=>this._showElement(t))))}hide(){if(!this._isShown||this._isTransitioning)return;if(j.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const t=this._isAnimated();t&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),this._focustrap.deactivate(),this._element.classList.remove(ji),j.off(this._element,Si),j.off(this._dialog,Ii),this._queueCallback((()=>this._hideModal()),this._element,t)}dispose(){[window,this._dialog].forEach((t=>j.off(t,".bs.modal"))),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new bi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_getConfig(t){return t={...Ci,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Ti,t,ki),t}_showElement(t){const e=this._isAnimated(),i=V.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,i&&(i.scrollTop=0),e&&u(this._element),this._element.classList.add(ji),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,j.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,e)}_setEscapeEvent(){this._isShown?j.on(this._element,Ni,(t=>{this._config.keyboard&&t.key===Oi?(t.preventDefault(),this.hide()):this._config.keyboard||t.key!==Oi||this._triggerBackdropTransition()})):j.off(this._element,Ni)}_setResizeEvent(){this._isShown?j.on(window,Di,(()=>this._adjustDialog())):j.off(window,Di)}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Pi),this._resetAdjustments(),this._scrollBar.reset(),j.trigger(this._element,Li)}))}_showBackdrop(t){j.on(this._element,Si,(t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())})),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(j.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains(Mi)||(n||(i.overflowY="hidden"),t.add(Mi),this._queueCallback((()=>{t.remove(Mi),n||this._queueCallback((()=>{i.overflowY=""}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!m()||i&&!t&&m())&&(this._element.style.paddingLeft=`${e}px`),(i&&!t&&!m()||!i&&t&&m())&&(this._element.style.paddingRight=`${e}px`)}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}j.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),j.one(e,xi,(t=>{t.defaultPrevented||j.one(e,Li,(()=>{l(this)&&this.focus()}))}));const i=V.findOne(".modal.show");i&&Hi.getInstance(i).hide(),Hi.getOrCreateInstance(e).toggle(this)})),R(Hi),g(Hi);const Bi="offcanvas",Ri={backdrop:!0,keyboard:!0,scroll:!1},Wi={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"},$i="show",zi=".offcanvas.show",qi="hidden.bs.offcanvas";class Fi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get NAME(){return Bi}static get Default(){return Ri}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||j.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||(new fi).hide(),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($i),this._queueCallback((()=>{this._config.scroll||this._focustrap.activate(),j.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(j.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.remove($i),this._backdrop.hide(),this._queueCallback((()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new fi).reset(),j.trigger(this._element,qi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_getConfig(t){return t={...Ri,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Bi,t,Wi),t}_initializeBackDrop(){return new bi({className:"offcanvas-backdrop",isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_addEventListeners(){j.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()}))}static jQueryInterface(t){return this.each((function(){const e=Fi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}j.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this))return;j.one(e,qi,(()=>{l(this)&&this.focus()}));const i=V.findOne(zi);i&&i!==e&&Fi.getInstance(i).hide(),Fi.getOrCreateInstance(e).toggle(this)})),j.on(window,"load.bs.offcanvas.data-api",(()=>V.find(zi).forEach((t=>Fi.getOrCreateInstance(t).show())))),R(Fi),g(Fi);const Ui=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Ki=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Xi=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!Ui.has(i)||Boolean(Vi.test(t.nodeValue)||Ki.test(t.nodeValue));const n=e.filter((t=>t instanceof RegExp));for(let t=0,e=n.length;t{Xi(t,r)||i.removeAttribute(t.nodeName)}))}return n.body.innerHTML}const Qi="tooltip",Gi=new Set(["sanitize","allowList","sanitizeFn"]),Zi={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},Ji={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},tn={animation:!0,template:'

      ',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},en={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"},nn="fade",sn="show",on="show",rn="out",an=".tooltip-inner",ln=".modal",cn="hide.bs.modal",hn="hover",dn="focus";class un extends B{constructor(t,e){if(void 0===Fe)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._popper=null,this._config=this._getConfig(e),this.tip=null,this._setListeners()}static get Default(){return tn}static get NAME(){return Qi}static get Event(){return en}static get DefaultType(){return Zi}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(t){if(this._isEnabled)if(t){const e=this._initializeOnDelegatedTarget(t);e._activeTrigger.click=!e._activeTrigger.click,e._isWithActiveTrigger()?e._enter(null,e):e._leave(null,e)}else{if(this.getTipElement().classList.contains(sn))return void this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),j.off(this._element.closest(ln),cn,this._hideModalHandler),this.tip&&this.tip.remove(),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=j.trigger(this._element,this.constructor.Event.SHOW),e=h(this._element),i=null===e?this._element.ownerDocument.documentElement.contains(this._element):e.contains(this._element);if(t.defaultPrevented||!i)return;"tooltip"===this.constructor.NAME&&this.tip&&this.getTitle()!==this.tip.querySelector(an).innerHTML&&(this._disposePopper(),this.tip.remove(),this.tip=null);const n=this.getTipElement(),s=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME);n.setAttribute("id",s),this._element.setAttribute("aria-describedby",s),this._config.animation&&n.classList.add(nn);const o="function"==typeof this._config.placement?this._config.placement.call(this,n,this._element):this._config.placement,r=this._getAttachment(o);this._addAttachmentClass(r);const{container:a}=this._config;H.set(n,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(a.append(n),j.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=qe(this._element,n,this._getPopperConfig(r)),n.classList.add(sn);const l=this._resolvePossibleFunction(this._config.customClass);l&&n.classList.add(...l.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>{j.on(t,"mouseover",d)}));const c=this.tip.classList.contains(nn);this._queueCallback((()=>{const t=this._hoverState;this._hoverState=null,j.trigger(this._element,this.constructor.Event.SHOWN),t===rn&&this._leave(null,this)}),this.tip,c)}hide(){if(!this._popper)return;const t=this.getTipElement();if(j.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove(sn),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains(nn);this._queueCallback((()=>{this._isWithActiveTrigger()||(this._hoverState!==on&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),j.trigger(this._element,this.constructor.Event.HIDDEN),this._disposePopper())}),this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");t.innerHTML=this._config.template;const e=t.children[0];return this.setContent(e),e.classList.remove(nn,sn),this.tip=e,this.tip}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),an)}_sanitizeAndSetContent(t,e,i){const n=V.findOne(i,t);e||!n?this.setElementContent(n,e):n.remove()}setElementContent(t,e){if(null!==t)return o(e)?(e=r(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.append(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Yi(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){const t=this._element.getAttribute("data-bs-original-title")||this._config.title;return this._resolvePossibleFunction(t)}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){return e||this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"onChange",enabled:!0,phase:"afterWrite",fn:t=>this._handlePopperPlacementChange(t)}],onFirstUpdate:t=>{t.options.placement!==t.placement&&this._handlePopperPlacementChange(t)}};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_addAttachmentClass(t){this.getTipElement().classList.add(`${this._getBasicClassPrefix()}-${this.updateAttachment(t)}`)}_getAttachment(t){return Ji[t.toUpperCase()]}_setListeners(){this._config.trigger.split(" ").forEach((t=>{if("click"===t)j.on(this._element,this.constructor.Event.CLICK,this._config.selector,(t=>this.toggle(t)));else if("manual"!==t){const e=t===hn?this.constructor.Event.MOUSEENTER:this.constructor.Event.FOCUSIN,i=t===hn?this.constructor.Event.MOUSELEAVE:this.constructor.Event.FOCUSOUT;j.on(this._element,e,this._config.selector,(t=>this._enter(t))),j.on(this._element,i,this._config.selector,(t=>this._leave(t)))}})),this._hideModalHandler=()=>{this._element&&this.hide()},j.on(this._element.closest(ln),cn,this._hideModalHandler),this._config.selector?this._config={...this._config,trigger:"manual",selector:""}:this._fixTitle()}_fixTitle(){const t=this._element.getAttribute("title"),e=typeof this._element.getAttribute("data-bs-original-title");(t||"string"!==e)&&(this._element.setAttribute("data-bs-original-title",t||""),!t||this._element.getAttribute("aria-label")||this._element.textContent||this._element.setAttribute("aria-label",t),this._element.setAttribute("title",""))}_enter(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusin"===t.type?dn:hn]=!0),e.getTipElement().classList.contains(sn)||e._hoverState===on?e._hoverState=on:(clearTimeout(e._timeout),e._hoverState=on,e._config.delay&&e._config.delay.show?e._timeout=setTimeout((()=>{e._hoverState===on&&e.show()}),e._config.delay.show):e.show())}_leave(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusout"===t.type?dn:hn]=e._element.contains(t.relatedTarget)),e._isWithActiveTrigger()||(clearTimeout(e._timeout),e._hoverState=rn,e._config.delay&&e._config.delay.hide?e._timeout=setTimeout((()=>{e._hoverState===rn&&e.hide()}),e._config.delay.hide):e.hide())}_isWithActiveTrigger(){for(const t in this._activeTrigger)if(this._activeTrigger[t])return!0;return!1}_getConfig(t){const e=U.getDataAttributes(this._element);return Object.keys(e).forEach((t=>{Gi.has(t)&&delete e[t]})),(t={...this.constructor.Default,...e,..."object"==typeof t&&t?t:{}}).container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),a(Qi,t,this.constructor.DefaultType),t.sanitize&&(t.template=Yi(t.template,t.allowList,t.sanitizeFn)),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t}_cleanTipClass(){const t=this.getTipElement(),e=new RegExp(`(^|\\s)${this._getBasicClassPrefix()}\\S+`,"g"),i=t.getAttribute("class").match(e);null!==i&&i.length>0&&i.map((t=>t.trim())).forEach((e=>t.classList.remove(e)))}_getBasicClassPrefix(){return"bs-tooltip"}_handlePopperPlacementChange(t){const{state:e}=t;e&&(this.tip=e.elements.popper,this._cleanTipClass(),this._addAttachmentClass(this._getAttachment(e.placement)))}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null)}static jQueryInterface(t){return this.each((function(){const e=un.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(un);const fn={...un.Default,placement:"right",offset:[0,8],trigger:"click",content:"",template:''},pn={...un.DefaultType,content:"(string|element|function)"},mn={HIDE:"hide.bs.popover",HIDDEN:"hidden.bs.popover",SHOW:"show.bs.popover",SHOWN:"shown.bs.popover",INSERTED:"inserted.bs.popover",CLICK:"click.bs.popover",FOCUSIN:"focusin.bs.popover",FOCUSOUT:"focusout.bs.popover",MOUSEENTER:"mouseenter.bs.popover",MOUSELEAVE:"mouseleave.bs.popover"};class gn extends un{static get Default(){return fn}static get NAME(){return"popover"}static get Event(){return mn}static get DefaultType(){return pn}isWithContent(){return this.getTitle()||this._getContent()}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),".popover-header"),this._sanitizeAndSetContent(t,this._getContent(),".popover-body")}_getContent(){return this._resolvePossibleFunction(this._config.content)}_getBasicClassPrefix(){return"bs-popover"}static jQueryInterface(t){return this.each((function(){const e=gn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(gn);const _n="scrollspy",bn={offset:10,method:"auto",target:""},vn={offset:"number",method:"string",target:"(string|element)"},yn="active",wn=".nav-link, .list-group-item, .dropdown-item",En="position";class An extends B{constructor(t,e){super(t),this._scrollElement="BODY"===this._element.tagName?window:this._element,this._config=this._getConfig(e),this._offsets=[],this._targets=[],this._activeTarget=null,this._scrollHeight=0,j.on(this._scrollElement,"scroll.bs.scrollspy",(()=>this._process())),this.refresh(),this._process()}static get Default(){return bn}static get NAME(){return _n}refresh(){const t=this._scrollElement===this._scrollElement.window?"offset":En,e="auto"===this._config.method?t:this._config.method,n=e===En?this._getScrollTop():0;this._offsets=[],this._targets=[],this._scrollHeight=this._getScrollHeight(),V.find(wn,this._config.target).map((t=>{const s=i(t),o=s?V.findOne(s):null;if(o){const t=o.getBoundingClientRect();if(t.width||t.height)return[U[e](o).top+n,s]}return null})).filter((t=>t)).sort(((t,e)=>t[0]-e[0])).forEach((t=>{this._offsets.push(t[0]),this._targets.push(t[1])}))}dispose(){j.off(this._scrollElement,".bs.scrollspy"),super.dispose()}_getConfig(t){return(t={...bn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}}).target=r(t.target)||document.documentElement,a(_n,t,vn),t}_getScrollTop(){return this._scrollElement===window?this._scrollElement.pageYOffset:this._scrollElement.scrollTop}_getScrollHeight(){return this._scrollElement.scrollHeight||Math.max(document.body.scrollHeight,document.documentElement.scrollHeight)}_getOffsetHeight(){return this._scrollElement===window?window.innerHeight:this._scrollElement.getBoundingClientRect().height}_process(){const t=this._getScrollTop()+this._config.offset,e=this._getScrollHeight(),i=this._config.offset+e-this._getOffsetHeight();if(this._scrollHeight!==e&&this.refresh(),t>=i){const t=this._targets[this._targets.length-1];this._activeTarget!==t&&this._activate(t)}else{if(this._activeTarget&&t0)return this._activeTarget=null,void this._clear();for(let e=this._offsets.length;e--;)this._activeTarget!==this._targets[e]&&t>=this._offsets[e]&&(void 0===this._offsets[e+1]||t`${e}[data-bs-target="${t}"],${e}[href="${t}"]`)),i=V.findOne(e.join(","),this._config.target);i.classList.add(yn),i.classList.contains("dropdown-item")?V.findOne(".dropdown-toggle",i.closest(".dropdown")).classList.add(yn):V.parents(i,".nav, .list-group").forEach((t=>{V.prev(t,".nav-link, .list-group-item").forEach((t=>t.classList.add(yn))),V.prev(t,".nav-item").forEach((t=>{V.children(t,".nav-link").forEach((t=>t.classList.add(yn)))}))})),j.trigger(this._scrollElement,"activate.bs.scrollspy",{relatedTarget:t})}_clear(){V.find(wn,this._config.target).filter((t=>t.classList.contains(yn))).forEach((t=>t.classList.remove(yn)))}static jQueryInterface(t){return this.each((function(){const e=An.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}j.on(window,"load.bs.scrollspy.data-api",(()=>{V.find('[data-bs-spy="scroll"]').forEach((t=>new An(t)))})),g(An);const Tn="active",On="fade",Cn="show",kn=".active",Ln=":scope > li > .active";class xn extends B{static get NAME(){return"tab"}show(){if(this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE&&this._element.classList.contains(Tn))return;let t;const e=n(this._element),i=this._element.closest(".nav, .list-group");if(i){const e="UL"===i.nodeName||"OL"===i.nodeName?Ln:kn;t=V.find(e,i),t=t[t.length-1]}const s=t?j.trigger(t,"hide.bs.tab",{relatedTarget:this._element}):null;if(j.trigger(this._element,"show.bs.tab",{relatedTarget:t}).defaultPrevented||null!==s&&s.defaultPrevented)return;this._activate(this._element,i);const o=()=>{j.trigger(t,"hidden.bs.tab",{relatedTarget:this._element}),j.trigger(this._element,"shown.bs.tab",{relatedTarget:t})};e?this._activate(e,e.parentNode,o):o()}_activate(t,e,i){const n=(!e||"UL"!==e.nodeName&&"OL"!==e.nodeName?V.children(e,kn):V.find(Ln,e))[0],s=i&&n&&n.classList.contains(On),o=()=>this._transitionComplete(t,n,i);n&&s?(n.classList.remove(Cn),this._queueCallback(o,t,!0)):o()}_transitionComplete(t,e,i){if(e){e.classList.remove(Tn);const t=V.findOne(":scope > .dropdown-menu 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Dn="toast",Sn="hide",Nn="show",In="showing",Pn={animation:"boolean",autohide:"boolean",delay:"number"},jn={animation:!0,autohide:!0,delay:5e3};class Mn extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get DefaultType(){return Pn}static get Default(){return jn}static get NAME(){return Dn}show(){j.trigger(this._element,"show.bs.toast").defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(Sn),u(this._element),this._element.classList.add(Nn),this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.remove(In),j.trigger(this._element,"shown.bs.toast"),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this._element.classList.contains(Nn)&&(j.trigger(this._element,"hide.bs.toast").defaultPrevented||(this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.add(Sn),this._element.classList.remove(In),this._element.classList.remove(Nn),j.trigger(this._element,"hidden.bs.toast")}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this._element.classList.contains(Nn)&&this._element.classList.remove(Nn),super.dispose()}_getConfig(t){return t={...jn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}},a(Dn,t,this.constructor.DefaultType),t}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){j.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),j.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=Mn.getOrCreateInstance(this,t);if("string"==typeof 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The definition - // object can contain the following properties: - // - name (required) - A string indicating the binding name, which will be - // used by default as the CSS classname to look for. - // - initialize (optional) - A function(el) that will be called once per - // widget element; if a value is returned, it will be passed as the third - // value to renderValue. - // - renderValue (required) - A function(el, data, initValue) that will be - // called with data. Static contexts will cause this to be called once per - // element; Shiny apps will cause this to be called multiple times per - // element, as the data changes. - window.HTMLWidgets.widget = function(definition) { - if (!definition.name) { - throw new Error("Widget must have a name"); - } - if (!definition.type) { - throw new Error("Widget must have a type"); - } - // Currently we only support output widgets - if (definition.type !== "output") { - throw new Error("Unrecognized widget type '" + definition.type + "'"); - } - // TODO: Verify that .name is a valid CSS classname - - // Support new-style instance-bound definitions. Old-style class-bound - // definitions have one widget "object" per widget per type/class of - // widget; the renderValue and resize methods on such widget objects - // take el and instance arguments, because the widget object can't - // store them. New-style instance-bound definitions have one widget - // object per widget instance; the definition that's passed in doesn't - // provide renderValue or resize methods at all, just the single method - // factory(el, width, height) - // which returns an object that has renderValue(x) and resize(w, h). - // This enables a far more natural programming style for the widget - // author, who can store per-instance state using either OO-style - // instance fields or functional-style closure variables (I guess this - // is in contrast to what can only be called C-style pseudo-OO which is - // what we required before). - if (definition.factory) { - definition = createLegacyDefinitionAdapter(definition); - } - - if (!definition.renderValue) { - throw new Error("Widget must have a renderValue function"); - } - - // For static rendering (non-Shiny), use a simple widget registration - // scheme. We also use this scheme for Shiny apps/documents that also - // contain static widgets. - window.HTMLWidgets.widgets = window.HTMLWidgets.widgets || []; - // Merge defaults into the definition; don't mutate the original definition. - var staticBinding = extend({}, defaults, definition); - overrideMethod(staticBinding, "find", function(superfunc) { - return function(scope) { - var results = superfunc(scope); - // Filter out Shiny outputs, we only want the static kind - return filterByClass(results, "html-widget-output", false); - }; - }); - window.HTMLWidgets.widgets.push(staticBinding); - - if (shinyMode) { - // Shiny is running. Register the definition with an output binding. - // The definition itself will not be the output binding, instead - // we will make an output binding object that delegates to the - // definition. This is because we foolishly used the same method - // name (renderValue) for htmlwidgets definition and Shiny bindings - // but they actually have quite different semantics (the Shiny - // bindings receive data that includes lots of metadata that it - // strips off before calling htmlwidgets renderValue). We can't - // just ignore the difference because in some widgets it's helpful - // to call this.renderValue() from inside of resize(), and if - // we're not delegating, then that call will go to the Shiny - // version instead of the htmlwidgets version. - - // Merge defaults with definition, without mutating either. - var bindingDef = extend({}, defaults, definition); - - // This object will be our actual Shiny binding. - var shinyBinding = new Shiny.OutputBinding(); - - // With a few exceptions, we'll want to simply use the bindingDef's - // version of methods if they are available, otherwise fall back to - // Shiny's defaults. NOTE: If Shiny's output bindings gain additional - // methods in the future, and we want them to be overrideable by - // HTMLWidget binding definitions, then we'll need to add them to this - // list. - delegateMethod(shinyBinding, bindingDef, "getId"); - delegateMethod(shinyBinding, bindingDef, "onValueChange"); - delegateMethod(shinyBinding, bindingDef, "onValueError"); - delegateMethod(shinyBinding, bindingDef, "renderError"); - delegateMethod(shinyBinding, bindingDef, "clearError"); - delegateMethod(shinyBinding, bindingDef, "showProgress"); - - // The find, renderValue, and resize are handled differently, because we - // want to actually decorate the behavior of the bindingDef methods. - - shinyBinding.find = function(scope) { - var results = bindingDef.find(scope); - - // Only return elements that are Shiny outputs, not static ones - var dynamicResults = results.filter(".html-widget-output"); - - // It's possible that whatever caused Shiny to think there might be - // new dynamic outputs, also caused there to be new static outputs. - // Since there might be lots of different htmlwidgets bindings, we - // schedule execution for later--no need to staticRender multiple - // times. - if (results.length !== dynamicResults.length) - scheduleStaticRender(); - - return dynamicResults; - }; - - // Wrap renderValue to handle initialization, which unfortunately isn't - // supported natively by Shiny at the time of this writing. - - shinyBinding.renderValue = function(el, data) { - Shiny.renderDependencies(data.deps); - // Resolve strings marked as javascript literals to objects - if (!(data.evals instanceof Array)) data.evals = [data.evals]; - for (var i = 0; data.evals && i < data.evals.length; i++) { - window.HTMLWidgets.evaluateStringMember(data.x, data.evals[i]); - } - if (!bindingDef.renderOnNullValue) { - if (data.x === null) { - el.style.visibility = "hidden"; - return; - } else { - el.style.visibility = "inherit"; - } - } - if (!elementData(el, "initialized")) { - initSizing(el); - - elementData(el, "initialized", true); - if (bindingDef.initialize) { - var rect = el.getBoundingClientRect(); - var result = bindingDef.initialize(el, rect.width, rect.height); - elementData(el, "init_result", result); - } - } - bindingDef.renderValue(el, data.x, elementData(el, "init_result")); - evalAndRun(data.jsHooks.render, elementData(el, "init_result"), [el, data.x]); - }; - - // Only override resize if bindingDef implements it - if (bindingDef.resize) { - shinyBinding.resize = function(el, width, height) { - // Shiny can call resize before initialize/renderValue have been - // called, which doesn't make sense for widgets. - if (elementData(el, "initialized")) { - bindingDef.resize(el, width, height, elementData(el, "init_result")); - } - }; - } - - Shiny.outputBindings.register(shinyBinding, bindingDef.name); - } - }; - - var scheduleStaticRenderTimerId = null; - function scheduleStaticRender() { - if (!scheduleStaticRenderTimerId) { - scheduleStaticRenderTimerId = setTimeout(function() { - scheduleStaticRenderTimerId = null; - window.HTMLWidgets.staticRender(); - }, 1); - } - } - - // Render static widgets after the document finishes loading - // Statically render all elements that are of this widget's class - window.HTMLWidgets.staticRender = function() { - var bindings = window.HTMLWidgets.widgets || []; - forEach(bindings, function(binding) { - var matches = binding.find(document.documentElement); - forEach(matches, function(el) { - var sizeObj = initSizing(el, binding); - - var getSize = function(el) { - if (sizeObj) { - return {w: sizeObj.getWidth(), h: sizeObj.getHeight()} - } else { - var rect = el.getBoundingClientRect(); - return {w: rect.width, h: rect.height} - } - }; - - if (hasClass(el, "html-widget-static-bound")) - return; - el.className = el.className + " html-widget-static-bound"; - - var initResult; - if (binding.initialize) { - var size = getSize(el); - initResult = binding.initialize(el, size.w, size.h); - elementData(el, "init_result", initResult); - } - - if (binding.resize) { - var lastSize = getSize(el); - var resizeHandler = function(e) { - var size = getSize(el); - if (size.w === 0 && size.h === 0) - return; - if (size.w === lastSize.w && size.h === lastSize.h) - return; - lastSize = size; - binding.resize(el, size.w, size.h, initResult); - }; - - on(window, "resize", resizeHandler); - - // This is needed for cases where we're running in a Shiny - // app, but the widget itself is not a Shiny output, but - // rather a simple static widget. One example of this is - // an rmarkdown document that has runtime:shiny and widget - // that isn't in a render function. Shiny only knows to - // call resize handlers for Shiny outputs, not for static - // widgets, so we do it ourselves. - if (window.jQuery) { - window.jQuery(document).on( - "shown.htmlwidgets shown.bs.tab.htmlwidgets shown.bs.collapse.htmlwidgets", - resizeHandler - ); - window.jQuery(document).on( - "hidden.htmlwidgets hidden.bs.tab.htmlwidgets hidden.bs.collapse.htmlwidgets", - resizeHandler - ); - } - - // This is needed for the specific case of ioslides, which - // flips slides between display:none and display:block. - // Ideally we would not have to have ioslide-specific code - // here, but rather have ioslides raise a generic event, - // but the rmarkdown package just went to CRAN so the - // window to getting that fixed may be long. - if (window.addEventListener) { - // It's OK to limit this to window.addEventListener - // browsers because ioslides itself only supports - // such browsers. - on(document, "slideenter", resizeHandler); - on(document, "slideleave", resizeHandler); - } - } - - var scriptData = document.querySelector("script[data-for='" + el.id + "'][type='application/json']"); - if (scriptData) { - var data = JSON.parse(scriptData.textContent || scriptData.text); - // Resolve strings marked as javascript literals to objects - if (!(data.evals instanceof Array)) data.evals = [data.evals]; - for (var k = 0; data.evals && k < data.evals.length; k++) { - window.HTMLWidgets.evaluateStringMember(data.x, data.evals[k]); - } - binding.renderValue(el, data.x, initResult); - evalAndRun(data.jsHooks.render, initResult, [el, data.x]); - } - }); - }); - - invokePostRenderHandlers(); - } - - - function has_jQuery3() { - if (!window.jQuery) { - return false; - } - var $version = window.jQuery.fn.jquery; - var $major_version = parseInt($version.split(".")[0]); - return $major_version >= 3; - } - - /* - / Shiny 1.4 bumped jQuery from 1.x to 3.x which means jQuery's - / on-ready handler (i.e., $(fn)) is now asyncronous (i.e., it now - / really means $(setTimeout(fn)). - / https://jquery.com/upgrade-guide/3.0/#breaking-change-document-ready-handlers-are-now-asynchronous - / - / Since Shiny uses $() to schedule initShiny, shiny>=1.4 calls initShiny - / one tick later than it did before, which means staticRender() is - / called renderValue() earlier than (advanced) widget authors might be expecting. - / https://github.com/rstudio/shiny/issues/2630 - / - / For a concrete example, leaflet has some methods (e.g., updateBounds) - / which reference Shiny methods registered in initShiny (e.g., setInputValue). - / Since leaflet is privy to this life-cycle, it knows to use setTimeout() to - / delay execution of those methods (until Shiny methods are ready) - / https://github.com/rstudio/leaflet/blob/18ec981/javascript/src/index.js#L266-L268 - / - / Ideally widget authors wouldn't need to use this setTimeout() hack that - / leaflet uses to call Shiny methods on a staticRender(). In the long run, - / the logic initShiny should be broken up so that method registration happens - / right away, but binding happens later. - */ - function maybeStaticRenderLater() { - if (shinyMode && has_jQuery3()) { - window.jQuery(window.HTMLWidgets.staticRender); - } else { - window.HTMLWidgets.staticRender(); - } - } - - if (document.addEventListener) { - document.addEventListener("DOMContentLoaded", function() { - document.removeEventListener("DOMContentLoaded", arguments.callee, false); - maybeStaticRenderLater(); - }, false); - } else if (document.attachEvent) { - document.attachEvent("onreadystatechange", function() { - if (document.readyState === "complete") { - document.detachEvent("onreadystatechange", arguments.callee); - maybeStaticRenderLater(); - } - }); - } - - - window.HTMLWidgets.getAttachmentUrl = function(depname, key) { - // If no key, default to the first item - if (typeof(key) === "undefined") - key = 1; - - var link = document.getElementById(depname + "-" + key + "-attachment"); - if (!link) { - throw new Error("Attachment " + depname + "/" + key + " not found in document"); - } - return link.getAttribute("href"); - }; - - window.HTMLWidgets.dataframeToD3 = function(df) { - var names = []; - var length; - for (var name in df) { - if (df.hasOwnProperty(name)) - names.push(name); - if (typeof(df[name]) !== "object" || typeof(df[name].length) === "undefined") { - throw new Error("All fields must be arrays"); - } else if (typeof(length) !== "undefined" && length !== df[name].length) { - throw new Error("All fields must be arrays of the same length"); - } - length = df[name].length; - } - var results = []; - var item; - for (var row = 0; row < length; row++) { - item = {}; - for (var col = 0; col < names.length; col++) { - item[names[col]] = df[names[col]][row]; - } - results.push(item); - } - return results; - }; - - window.HTMLWidgets.transposeArray2D = function(array) { - if (array.length === 0) return array; - var newArray = array[0].map(function(col, i) { - return array.map(function(row) { - return row[i] - }) - }); - return newArray; - }; - // Split value at splitChar, but allow splitChar to be escaped - // using escapeChar. Any other characters escaped by escapeChar - // will be included as usual (including escapeChar itself). - function splitWithEscape(value, splitChar, escapeChar) { - var results = []; - var escapeMode = false; - var currentResult = ""; - for (var pos = 0; pos < value.length; pos++) { - if (!escapeMode) { - if (value[pos] === splitChar) { - results.push(currentResult); - currentResult = ""; - } else if (value[pos] === escapeChar) { - escapeMode = true; - } else { - currentResult += value[pos]; - } - } else { - currentResult += value[pos]; - escapeMode = false; - } - } - if (currentResult !== "") { - results.push(currentResult); - } - return results; - } - // Function authored by Yihui/JJ Allaire - window.HTMLWidgets.evaluateStringMember = function(o, member) { - var parts = splitWithEscape(member, '.', '\\'); - for (var i = 0, l = parts.length; i < l; i++) { - var part = parts[i]; - // part may be a character or 'numeric' member name - if (o !== null && typeof o === "object" && part in o) { - if (i == (l - 1)) { // if we are at the end of the line then evalulate - if (typeof o[part] === "string") - o[part] = tryEval(o[part]); - } else { // otherwise continue to next embedded object - o = o[part]; - } - } - } - }; - - // Retrieve the HTMLWidget instance (i.e. the return value of an - // HTMLWidget binding's initialize() or factory() function) - // associated with an element, or null if none. - window.HTMLWidgets.getInstance = function(el) { - return elementData(el, "init_result"); - }; - - // Finds the first element in the scope that matches the selector, - // and returns the HTMLWidget instance (i.e. the return value of - // an HTMLWidget binding's initialize() or factory() function) - // associated with that element, if any. If no element matches the - // selector, or the first matching element has no HTMLWidget - // instance associated with it, then null is returned. - // - // The scope argument is optional, and defaults to window.document. - window.HTMLWidgets.find = function(scope, selector) { - if (arguments.length == 1) { - selector = scope; - scope = document; - } - - var el = scope.querySelector(selector); - if (el === null) { - return null; - } else { - return window.HTMLWidgets.getInstance(el); - } - }; - - // Finds all elements in the scope that match the selector, and - // returns the HTMLWidget instances (i.e. the return values of - // an HTMLWidget binding's initialize() or factory() function) - // associated with the elements, in an array. If elements that - // match the selector don't have an associated HTMLWidget - // instance, the returned array will contain nulls. - // - // The scope argument is optional, and defaults to window.document. - window.HTMLWidgets.findAll = function(scope, selector) { - if (arguments.length == 1) { - selector = scope; - scope = document; - } - - var nodes = scope.querySelectorAll(selector); - var results = []; - for (var i = 0; i < nodes.length; i++) { - results.push(window.HTMLWidgets.getInstance(nodes[i])); - } - return results; - }; - - var postRenderHandlers = []; - function invokePostRenderHandlers() { - while (postRenderHandlers.length) { - var handler = postRenderHandlers.shift(); - if (handler) { - handler(); - } - } - } - - // Register the given callback function to be invoked after the - // next time static widgets are rendered. - window.HTMLWidgets.addPostRenderHandler = function(callback) { - postRenderHandlers.push(callback); - }; - - // Takes a new-style instance-bound definition, and returns an - // old-style class-bound definition. This saves us from having - // to rewrite all the logic in this file to accomodate both - // types of definitions. - function createLegacyDefinitionAdapter(defn) { - var result = { - name: defn.name, - type: defn.type, - initialize: function(el, width, height) { - return defn.factory(el, width, height); - }, - renderValue: function(el, x, instance) { - return instance.renderValue(x); - }, - resize: function(el, width, height, instance) { - return instance.resize(width, height); - } - }; - - if (defn.find) - result.find = defn.find; - if (defn.renderError) - result.renderError = defn.renderError; - if (defn.clearError) - result.clearError = defn.clearError; - - return result; - } -})(); diff --git a/_site_rendered/site_libs/quarto-contrib/fontawesome6-0.1.0/1e21o67/fa-brands-400.ttf b/_site_rendered/site_libs/quarto-contrib/fontawesome6-0.1.0/1e21o67/fa-brands-400.ttf deleted file mode 100644 index 430a02edc6d675c9111f345b5e617c7352b5d85a..0000000000000000000000000000000000000000 GIT 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*/ -.fa { - font-family: var(--fa-style-family, "Font Awesome 6 Free"); - font-weight: var(--fa-style, 900); } - -.fa, -.fas, -.fa-solid, -.far, -.fa-regular, -.fal, -.fa-light, -.fat, -.fa-thin, -.fad, -.fa-duotone, -.fab, -.fa-brands { - -moz-osx-font-smoothing: grayscale; - -webkit-font-smoothing: antialiased; - display: var(--fa-display, inline-block); - font-style: normal; - font-variant: normal; - line-height: 1; - text-rendering: auto; } - -.fa-1x { - font-size: 1em; } - -.fa-2x { - font-size: 2em; } - -.fa-3x { - font-size: 3em; } - -.fa-4x { - font-size: 4em; } - -.fa-5x { - font-size: 5em; } - -.fa-6x { - font-size: 6em; } - -.fa-7x { - font-size: 7em; } - -.fa-8x { - font-size: 8em; } - -.fa-9x { - font-size: 9em; } - -.fa-10x { - font-size: 10em; } - -.fa-2xs { - font-size: 0.625em; - line-height: 0.1em; - vertical-align: 0.225em; } - -.fa-xs { - font-size: 0.75em; - line-height: 0.08333em; - vertical-align: 0.125em; } - -.fa-sm { - font-size: 0.875em; - line-height: 0.07143em; - vertical-align: 0.05357em; } - -.fa-lg { - font-size: 1.25em; - line-height: 0.05em; - vertical-align: -0.075em; } - -.fa-xl { - font-size: 1.5em; - line-height: 0.04167em; - vertical-align: -0.125em; } - -.fa-2xl { - font-size: 2em; - line-height: 0.03125em; - vertical-align: -0.1875em; } - -.fa-fw { - text-align: center; - width: 1.25em; } - -.fa-ul { - list-style-type: none; - margin-left: var(--fa-li-margin, 2.5em); - padding-left: 0; } - .fa-ul > li { - position: relative; } - -.fa-li { - left: calc(var(--fa-li-width, 2em) * -1); - position: absolute; - text-align: center; - width: var(--fa-li-width, 2em); - line-height: inherit; } - -.fa-border { - border-color: var(--fa-border-color, #eee); - border-radius: var(--fa-border-radius, 0.1em); - border-style: var(--fa-border-style, solid); - border-width: var(--fa-border-width, 0.08em); - padding: var(--fa-border-padding, 0.2em 0.25em 0.15em); } - -.fa-pull-left { - float: left; - margin-right: var(--fa-pull-margin, 0.3em); } - -.fa-pull-right { - float: right; - margin-left: var(--fa-pull-margin, 0.3em); } - -.fa-beat { - -webkit-animation-name: fa-beat; - animation-name: fa-beat; - -webkit-animation-delay: var(--fa-animation-delay, 0); - animation-delay: var(--fa-animation-delay, 0); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); - animation-timing-function: var(--fa-animation-timing, ease-in-out); } - -.fa-bounce { - -webkit-animation-name: fa-bounce; - animation-name: fa-bounce; - -webkit-animation-delay: var(--fa-animation-delay, 0); - animation-delay: var(--fa-animation-delay, 0); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); - animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.28, 0.84, 0.42, 1)); } - -.fa-fade { - -webkit-animation-name: fa-fade; - animation-name: fa-fade; - -webkit-animation-delay: var(--fa-animation-delay, 0); - animation-delay: var(--fa-animation-delay, 0); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); - animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } - -.fa-beat-fade { - -webkit-animation-name: fa-beat-fade; - animation-name: fa-beat-fade; - -webkit-animation-delay: var(--fa-animation-delay, 0); - animation-delay: var(--fa-animation-delay, 0); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); - animation-timing-function: var(--fa-animation-timing, cubic-bezier(0.4, 0, 0.6, 1)); } - -.fa-flip { - -webkit-animation-name: fa-flip; - animation-name: fa-flip; - -webkit-animation-delay: var(--fa-animation-delay, 0); - animation-delay: var(--fa-animation-delay, 0); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, ease-in-out); - animation-timing-function: var(--fa-animation-timing, ease-in-out); } - -.fa-shake { - -webkit-animation-name: fa-shake; - animation-name: fa-shake; - -webkit-animation-delay: var(--fa-animation-delay, 0); - animation-delay: var(--fa-animation-delay, 0); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, linear); - animation-timing-function: var(--fa-animation-timing, linear); } - -.fa-spin { - -webkit-animation-name: fa-spin; - animation-name: fa-spin; - -webkit-animation-delay: var(--fa-animation-delay, 0); - animation-delay: var(--fa-animation-delay, 0); - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 2s); - animation-duration: var(--fa-animation-duration, 2s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, linear); - animation-timing-function: var(--fa-animation-timing, linear); } - -.fa-spin-reverse { - --fa-animation-direction: reverse; } - -.fa-pulse, -.fa-spin-pulse { - -webkit-animation-name: fa-spin; - animation-name: fa-spin; - -webkit-animation-direction: var(--fa-animation-direction, normal); - animation-direction: var(--fa-animation-direction, normal); - -webkit-animation-duration: var(--fa-animation-duration, 1s); - animation-duration: var(--fa-animation-duration, 1s); - -webkit-animation-iteration-count: var(--fa-animation-iteration-count, infinite); - animation-iteration-count: var(--fa-animation-iteration-count, infinite); - -webkit-animation-timing-function: var(--fa-animation-timing, steps(8)); - animation-timing-function: var(--fa-animation-timing, steps(8)); } - -@media (prefers-reduced-motion: reduce) { - .fa-beat, - .fa-bounce, - .fa-fade, - .fa-beat-fade, - .fa-flip, - .fa-pulse, - .fa-shake, - .fa-spin, - .fa-spin-pulse { - -webkit-animation-delay: -1ms; - animation-delay: -1ms; - -webkit-animation-duration: 1ms; - animation-duration: 1ms; - -webkit-animation-iteration-count: 1; - animation-iteration-count: 1; - transition-delay: 0s; - transition-duration: 0s; } } - -@-webkit-keyframes fa-beat { - 0%, 90% { - -webkit-transform: scale(1); - transform: scale(1); } - 45% { - -webkit-transform: scale(var(--fa-beat-scale, 1.25)); - transform: scale(var(--fa-beat-scale, 1.25)); } } - -@keyframes fa-beat { - 0%, 90% { - -webkit-transform: scale(1); - transform: scale(1); } - 45% { - -webkit-transform: scale(var(--fa-beat-scale, 1.25)); - transform: scale(var(--fa-beat-scale, 1.25)); } } - -@-webkit-keyframes fa-bounce { - 0% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 10% { - -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); - transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } - 30% { - -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); - transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } - 50% { - -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); - transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } - 57% { - -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); - transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } - 64% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 100% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } } - -@keyframes fa-bounce { - 0% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 10% { - -webkit-transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); - transform: scale(var(--fa-bounce-start-scale-x, 1.1), var(--fa-bounce-start-scale-y, 0.9)) translateY(0); } - 30% { - -webkit-transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); - transform: scale(var(--fa-bounce-jump-scale-x, 0.9), var(--fa-bounce-jump-scale-y, 1.1)) translateY(var(--fa-bounce-height, -0.5em)); } - 50% { - -webkit-transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); - transform: scale(var(--fa-bounce-land-scale-x, 1.05), var(--fa-bounce-land-scale-y, 0.95)) translateY(0); } - 57% { - -webkit-transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); - transform: scale(1, 1) translateY(var(--fa-bounce-rebound, -0.125em)); } - 64% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } - 100% { - -webkit-transform: scale(1, 1) translateY(0); - transform: scale(1, 1) translateY(0); } } - -@-webkit-keyframes fa-fade { - 50% { - opacity: var(--fa-fade-opacity, 0.4); } } - -@keyframes fa-fade { - 50% { - opacity: var(--fa-fade-opacity, 0.4); } } - -@-webkit-keyframes fa-beat-fade { - 0%, 100% { - opacity: var(--fa-beat-fade-opacity, 0.4); - -webkit-transform: scale(1); - transform: scale(1); } - 50% { - opacity: 1; - -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); - transform: scale(var(--fa-beat-fade-scale, 1.125)); } } - -@keyframes fa-beat-fade { - 0%, 100% { - opacity: var(--fa-beat-fade-opacity, 0.4); - -webkit-transform: scale(1); - transform: scale(1); } - 50% { - opacity: 1; - -webkit-transform: scale(var(--fa-beat-fade-scale, 1.125)); - transform: scale(var(--fa-beat-fade-scale, 1.125)); } } - -@-webkit-keyframes fa-flip { - 50% { - -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); - transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } - -@keyframes fa-flip { - 50% { - -webkit-transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); - transform: rotate3d(var(--fa-flip-x, 0), var(--fa-flip-y, 1), var(--fa-flip-z, 0), var(--fa-flip-angle, -180deg)); } } - -@-webkit-keyframes fa-shake { - 0% { - -webkit-transform: rotate(-15deg); - transform: rotate(-15deg); } - 4% { - -webkit-transform: rotate(15deg); - transform: rotate(15deg); } - 8%, 24% { - -webkit-transform: rotate(-18deg); - transform: rotate(-18deg); } - 12%, 28% { - -webkit-transform: rotate(18deg); - transform: rotate(18deg); } - 16% { - -webkit-transform: rotate(-22deg); - transform: rotate(-22deg); } - 20% { - -webkit-transform: rotate(22deg); - transform: rotate(22deg); } - 32% { - -webkit-transform: rotate(-12deg); - transform: rotate(-12deg); } - 36% { - -webkit-transform: rotate(12deg); - transform: rotate(12deg); } - 40%, 100% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } } - -@keyframes fa-shake { - 0% { - -webkit-transform: rotate(-15deg); - transform: rotate(-15deg); } - 4% { - -webkit-transform: rotate(15deg); - transform: rotate(15deg); } - 8%, 24% { - -webkit-transform: rotate(-18deg); - transform: rotate(-18deg); } - 12%, 28% { - -webkit-transform: rotate(18deg); - transform: rotate(18deg); } - 16% { - -webkit-transform: rotate(-22deg); - transform: rotate(-22deg); } - 20% { - -webkit-transform: rotate(22deg); - transform: rotate(22deg); } - 32% { - -webkit-transform: rotate(-12deg); - transform: rotate(-12deg); } - 36% { - -webkit-transform: rotate(12deg); - transform: rotate(12deg); } - 40%, 100% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } } - -@-webkit-keyframes fa-spin { - 0% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } - 100% { - -webkit-transform: rotate(360deg); - transform: rotate(360deg); } } - -@keyframes fa-spin { - 0% { - -webkit-transform: rotate(0deg); - transform: rotate(0deg); } - 100% { - -webkit-transform: rotate(360deg); - transform: rotate(360deg); } } - -.fa-rotate-90 { - -webkit-transform: rotate(90deg); - transform: rotate(90deg); } - -.fa-rotate-180 { - -webkit-transform: rotate(180deg); - transform: rotate(180deg); } - -.fa-rotate-270 { - -webkit-transform: rotate(270deg); - transform: rotate(270deg); } - -.fa-flip-horizontal { - -webkit-transform: scale(-1, 1); - transform: scale(-1, 1); } - -.fa-flip-vertical { - -webkit-transform: scale(1, -1); - transform: scale(1, -1); } - -.fa-flip-both, -.fa-flip-horizontal.fa-flip-vertical { - -webkit-transform: scale(-1, -1); - transform: scale(-1, -1); } - -.fa-rotate-by { - -webkit-transform: rotate(var(--fa-rotate-angle, none)); - transform: rotate(var(--fa-rotate-angle, none)); } - -.fa-stack { - display: inline-block; - height: 2em; - line-height: 2em; - position: relative; - vertical-align: middle; - width: 2.5em; } - -.fa-stack-1x, -.fa-stack-2x { - left: 0; - position: absolute; - text-align: center; - width: 100%; - z-index: var(--fa-stack-z-index, auto); } - -.fa-stack-1x { - line-height: inherit; } - -.fa-stack-2x { - font-size: 2em; } - -.fa-inverse { - color: var(--fa-inverse, #fff); } - -/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen -readers do not read off random characters that represent icons */ -.fa-0::before { - content: "\30"; } - -.fa-1::before { - content: "\31"; } - -.fa-2::before { - content: "\32"; } - -.fa-3::before { - content: "\33"; } - -.fa-4::before { - content: "\34"; } - -.fa-5::before { - content: "\35"; } - -.fa-6::before { - content: "\36"; } - -.fa-7::before { - content: "\37"; } - -.fa-8::before { - content: "\38"; } - -.fa-9::before { - content: "\39"; } - -.fa-a::before { - content: "\41"; } - -.fa-address-book::before { - content: "\f2b9"; } - -.fa-contact-book::before { - content: "\f2b9"; } - -.fa-address-card::before { - content: "\f2bb"; } - -.fa-contact-card::before { - content: "\f2bb"; } - -.fa-vcard::before { - content: "\f2bb"; } - -.fa-align-center::before { - content: "\f037"; } - -.fa-align-justify::before { - content: "\f039"; } - -.fa-align-left::before { - content: "\f036"; } - -.fa-align-right::before { - content: "\f038"; } - -.fa-anchor::before { - content: "\f13d"; } - -.fa-anchor-circle-check::before { - content: "\e4aa"; } - -.fa-anchor-circle-exclamation::before { - content: "\e4ab"; } - -.fa-anchor-circle-xmark::before { - content: "\e4ac"; } - -.fa-anchor-lock::before { - content: "\e4ad"; } - -.fa-angle-down::before { - content: "\f107"; } - -.fa-angle-left::before { - content: "\f104"; } - -.fa-angle-right::before { - content: "\f105"; } - -.fa-angle-up::before { - content: "\f106"; } - -.fa-angles-down::before { - content: "\f103"; } - -.fa-angle-double-down::before { - content: "\f103"; } - -.fa-angles-left::before { - content: "\f100"; } - -.fa-angle-double-left::before { - content: "\f100"; } - -.fa-angles-right::before { - content: "\f101"; } - -.fa-angle-double-right::before { - content: "\f101"; } - -.fa-angles-up::before { - content: "\f102"; } - -.fa-angle-double-up::before { - content: "\f102"; } - -.fa-ankh::before { - content: "\f644"; } - -.fa-apple-whole::before { - content: "\f5d1"; } - -.fa-apple-alt::before { - content: "\f5d1"; } - -.fa-archway::before { - content: "\f557"; } - -.fa-arrow-down::before { - content: "\f063"; } - -.fa-arrow-down-1-9::before { - content: "\f162"; } - -.fa-sort-numeric-asc::before { - content: "\f162"; } - -.fa-sort-numeric-down::before { - content: "\f162"; } - -.fa-arrow-down-9-1::before { - content: "\f886"; } - -.fa-sort-numeric-desc::before { - content: "\f886"; } - -.fa-sort-numeric-down-alt::before { - content: "\f886"; } - -.fa-arrow-down-a-z::before { - content: "\f15d"; } - -.fa-sort-alpha-asc::before { - content: "\f15d"; } - -.fa-sort-alpha-down::before { - content: "\f15d"; } - -.fa-arrow-down-long::before { - content: "\f175"; } - -.fa-long-arrow-down::before { - content: "\f175"; } - -.fa-arrow-down-short-wide::before { - content: "\f884"; } - -.fa-sort-amount-desc::before { - content: "\f884"; } - -.fa-sort-amount-down-alt::before { - content: "\f884"; } - -.fa-arrow-down-up-across-line::before { - content: "\e4af"; } - -.fa-arrow-down-up-lock::before { - content: "\e4b0"; } - -.fa-arrow-down-wide-short::before { - content: "\f160"; } - -.fa-sort-amount-asc::before { - content: "\f160"; } - -.fa-sort-amount-down::before { - content: "\f160"; } - -.fa-arrow-down-z-a::before { - content: "\f881"; } - -.fa-sort-alpha-desc::before { - content: "\f881"; } - -.fa-sort-alpha-down-alt::before { - content: "\f881"; } - -.fa-arrow-left::before { - content: "\f060"; } - -.fa-arrow-left-long::before { - content: "\f177"; } - -.fa-long-arrow-left::before { - content: "\f177"; } - -.fa-arrow-pointer::before { - content: "\f245"; } - -.fa-mouse-pointer::before { - content: "\f245"; } - -.fa-arrow-right::before { - content: "\f061"; } - -.fa-arrow-right-arrow-left::before { - content: "\f0ec"; } - -.fa-exchange::before { - content: "\f0ec"; } - -.fa-arrow-right-from-bracket::before { - content: "\f08b"; } - -.fa-sign-out::before { - content: "\f08b"; } - -.fa-arrow-right-long::before { - content: "\f178"; } - -.fa-long-arrow-right::before { - content: "\f178"; } - -.fa-arrow-right-to-bracket::before { - content: "\f090"; } - -.fa-sign-in::before { - content: "\f090"; } - -.fa-arrow-right-to-city::before { - content: "\e4b3"; } - -.fa-arrow-rotate-left::before { - content: "\f0e2"; } - -.fa-arrow-left-rotate::before { - content: "\f0e2"; } - -.fa-arrow-rotate-back::before { - content: "\f0e2"; } - -.fa-arrow-rotate-backward::before { - content: "\f0e2"; } - -.fa-undo::before { - content: "\f0e2"; } - -.fa-arrow-rotate-right::before { - content: "\f01e"; } - -.fa-arrow-right-rotate::before { - content: "\f01e"; } - -.fa-arrow-rotate-forward::before { - content: "\f01e"; } - -.fa-redo::before { - content: "\f01e"; } - -.fa-arrow-trend-down::before { - content: "\e097"; } - -.fa-arrow-trend-up::before { - content: "\e098"; } - -.fa-arrow-turn-down::before { - content: "\f149"; } - -.fa-level-down::before { - content: "\f149"; } - -.fa-arrow-turn-up::before { - content: "\f148"; } - -.fa-level-up::before { - content: "\f148"; } - -.fa-arrow-up::before { - content: "\f062"; } - -.fa-arrow-up-1-9::before { - content: "\f163"; } - -.fa-sort-numeric-up::before { - content: "\f163"; } - -.fa-arrow-up-9-1::before { - content: "\f887"; } - -.fa-sort-numeric-up-alt::before { - content: "\f887"; } - -.fa-arrow-up-a-z::before { - content: "\f15e"; } - -.fa-sort-alpha-up::before { - content: "\f15e"; } - -.fa-arrow-up-from-bracket::before { - content: "\e09a"; } - -.fa-arrow-up-from-ground-water::before { - content: "\e4b5"; } - -.fa-arrow-up-from-water-pump::before { - content: "\e4b6"; } - -.fa-arrow-up-long::before { - content: "\f176"; } - -.fa-long-arrow-up::before { - content: "\f176"; } - -.fa-arrow-up-right-dots::before { - content: "\e4b7"; } - -.fa-arrow-up-right-from-square::before { - content: "\f08e"; } - -.fa-external-link::before { - content: "\f08e"; } - -.fa-arrow-up-short-wide::before { - content: "\f885"; } - -.fa-sort-amount-up-alt::before { - content: "\f885"; } - -.fa-arrow-up-wide-short::before { - content: "\f161"; } - -.fa-sort-amount-up::before { - content: "\f161"; } - -.fa-arrow-up-z-a::before { - content: "\f882"; } - -.fa-sort-alpha-up-alt::before { - content: "\f882"; } - -.fa-arrows-down-to-line::before { - content: "\e4b8"; } - -.fa-arrows-down-to-people::before { - content: "\e4b9"; } - -.fa-arrows-left-right::before { - content: "\f07e"; } - -.fa-arrows-h::before { - content: "\f07e"; } - -.fa-arrows-left-right-to-line::before { - content: "\e4ba"; } - -.fa-arrows-rotate::before { - content: "\f021"; } - -.fa-refresh::before { - content: "\f021"; } - -.fa-sync::before { - content: "\f021"; } - -.fa-arrows-spin::before { - content: "\e4bb"; } - -.fa-arrows-split-up-and-left::before { - content: "\e4bc"; } - -.fa-arrows-to-circle::before { - content: "\e4bd"; } - -.fa-arrows-to-dot::before { - content: "\e4be"; } - -.fa-arrows-to-eye::before { - content: "\e4bf"; } - -.fa-arrows-turn-right::before { - content: "\e4c0"; } - -.fa-arrows-turn-to-dots::before { - content: "\e4c1"; } - -.fa-arrows-up-down::before { - content: "\f07d"; } - -.fa-arrows-v::before { - content: "\f07d"; } - -.fa-arrows-up-down-left-right::before { - content: "\f047"; } - -.fa-arrows::before { - content: "\f047"; } - -.fa-arrows-up-to-line::before { - content: "\e4c2"; } - -.fa-asterisk::before { - content: "\2a"; } - -.fa-at::before { - content: "\40"; } - -.fa-atom::before { - content: "\f5d2"; } - -.fa-audio-description::before { - content: "\f29e"; } - -.fa-austral-sign::before { - content: "\e0a9"; } - -.fa-award::before { - content: "\f559"; } - -.fa-b::before { - content: "\42"; } - -.fa-baby::before { - content: "\f77c"; } - -.fa-baby-carriage::before { - content: "\f77d"; } - -.fa-carriage-baby::before { - content: "\f77d"; } - -.fa-backward::before { - content: "\f04a"; } - -.fa-backward-fast::before { - content: "\f049"; } - -.fa-fast-backward::before { - content: "\f049"; } - -.fa-backward-step::before { - content: "\f048"; } - -.fa-step-backward::before { - content: "\f048"; } - -.fa-bacon::before { - content: "\f7e5"; } - -.fa-bacteria::before { - content: "\e059"; } - -.fa-bacterium::before { - content: "\e05a"; } - -.fa-bag-shopping::before { - content: "\f290"; } - -.fa-shopping-bag::before { - content: "\f290"; } - -.fa-bahai::before { - content: "\f666"; } - -.fa-baht-sign::before { - content: "\e0ac"; } - -.fa-ban::before { - content: "\f05e"; } - -.fa-cancel::before { - content: "\f05e"; } - -.fa-ban-smoking::before { - content: "\f54d"; } - -.fa-smoking-ban::before { - content: "\f54d"; } - -.fa-bandage::before { - content: "\f462"; } - -.fa-band-aid::before { - content: "\f462"; } - -.fa-barcode::before { - content: "\f02a"; } - -.fa-bars::before { - content: "\f0c9"; } - -.fa-navicon::before { - content: "\f0c9"; } - -.fa-bars-progress::before { - content: "\f828"; } - -.fa-tasks-alt::before { - content: "\f828"; } - -.fa-bars-staggered::before { - content: "\f550"; } - -.fa-reorder::before { - content: "\f550"; } - -.fa-stream::before { - content: "\f550"; } - -.fa-baseball::before { - content: "\f433"; } - -.fa-baseball-ball::before { - content: "\f433"; } - -.fa-baseball-bat-ball::before { - content: "\f432"; } - -.fa-basket-shopping::before { - content: "\f291"; } - -.fa-shopping-basket::before { - content: "\f291"; } - -.fa-basketball::before { - content: "\f434"; } - -.fa-basketball-ball::before { - content: "\f434"; } - -.fa-bath::before { - content: "\f2cd"; } - -.fa-bathtub::before { - content: "\f2cd"; } - -.fa-battery-empty::before { - content: "\f244"; } - -.fa-battery-0::before { - content: "\f244"; } - -.fa-battery-full::before { - content: "\f240"; } - -.fa-battery::before { - content: "\f240"; } - -.fa-battery-5::before { - content: "\f240"; } - -.fa-battery-half::before { - content: "\f242"; } - -.fa-battery-3::before { - content: "\f242"; } - -.fa-battery-quarter::before { - content: "\f243"; } - -.fa-battery-2::before { - content: "\f243"; } - -.fa-battery-three-quarters::before { - content: "\f241"; } - -.fa-battery-4::before { - content: "\f241"; } - -.fa-bed::before { - content: "\f236"; } - -.fa-bed-pulse::before { - content: "\f487"; } - -.fa-procedures::before { - content: "\f487"; } - -.fa-beer-mug-empty::before { - content: "\f0fc"; } - -.fa-beer::before { - content: "\f0fc"; } - -.fa-bell::before { - content: "\f0f3"; } - -.fa-bell-concierge::before { - content: "\f562"; } - -.fa-concierge-bell::before { - content: "\f562"; } - -.fa-bell-slash::before { - content: "\f1f6"; } - -.fa-bezier-curve::before { - content: "\f55b"; } - -.fa-bicycle::before { - content: "\f206"; } - -.fa-binoculars::before { - content: "\f1e5"; } - -.fa-biohazard::before { - content: "\f780"; } - -.fa-bitcoin-sign::before { - content: "\e0b4"; } - -.fa-blender::before { - content: "\f517"; } - -.fa-blender-phone::before { - content: "\f6b6"; } - -.fa-blog::before { - content: "\f781"; } - -.fa-bold::before { - content: "\f032"; } - -.fa-bolt::before { - content: "\f0e7"; } - -.fa-zap::before { - content: "\f0e7"; } - -.fa-bolt-lightning::before { - content: "\e0b7"; } - -.fa-bomb::before { - content: "\f1e2"; } - -.fa-bone::before { - content: "\f5d7"; } - -.fa-bong::before { - content: "\f55c"; } - -.fa-book::before { - content: "\f02d"; } - -.fa-book-atlas::before { - content: "\f558"; } - -.fa-atlas::before { - content: "\f558"; } - -.fa-book-bible::before { - content: "\f647"; } - -.fa-bible::before { - content: "\f647"; } - -.fa-book-bookmark::before { - content: "\e0bb"; } - -.fa-book-journal-whills::before { - content: "\f66a"; } - -.fa-journal-whills::before { - content: "\f66a"; } - -.fa-book-medical::before { - content: "\f7e6"; } - -.fa-book-open::before { - content: "\f518"; } - -.fa-book-open-reader::before { - content: "\f5da"; } - -.fa-book-reader::before { - content: "\f5da"; } - -.fa-book-quran::before { - content: "\f687"; } - -.fa-quran::before { - content: "\f687"; } - -.fa-book-skull::before { - content: "\f6b7"; } - -.fa-book-dead::before { - content: "\f6b7"; } - -.fa-bookmark::before { - content: "\f02e"; } - -.fa-border-all::before { - content: "\f84c"; } - -.fa-border-none::before { - content: "\f850"; } - -.fa-border-top-left::before { - content: "\f853"; } - -.fa-border-style::before { - content: "\f853"; } - -.fa-bore-hole::before { - content: "\e4c3"; } - -.fa-bottle-droplet::before { - content: "\e4c4"; } - -.fa-bottle-water::before { - content: "\e4c5"; } - -.fa-bowl-food::before { - content: "\e4c6"; } - -.fa-bowl-rice::before { - content: "\e2eb"; } - -.fa-bowling-ball::before { - content: "\f436"; } - -.fa-box::before { - content: "\f466"; } - -.fa-box-archive::before { - content: "\f187"; } - -.fa-archive::before { - content: "\f187"; } - -.fa-box-open::before { - content: "\f49e"; } - -.fa-box-tissue::before { - content: "\e05b"; } - -.fa-boxes-packing::before { - content: "\e4c7"; } - -.fa-boxes-stacked::before { - content: "\f468"; } - -.fa-boxes::before { - content: "\f468"; } - -.fa-boxes-alt::before { - content: "\f468"; } - -.fa-braille::before { - content: "\f2a1"; } - -.fa-brain::before { - content: "\f5dc"; } - -.fa-brazilian-real-sign::before { - content: "\e46c"; } - -.fa-bread-slice::before { - content: "\f7ec"; } - -.fa-bridge::before { - content: "\e4c8"; } - -.fa-bridge-circle-check::before { - content: "\e4c9"; } - -.fa-bridge-circle-exclamation::before { - content: "\e4ca"; } - -.fa-bridge-circle-xmark::before { - content: "\e4cb"; } - -.fa-bridge-lock::before { - content: "\e4cc"; } - -.fa-bridge-water::before { - content: "\e4ce"; } - -.fa-briefcase::before { - content: "\f0b1"; } - -.fa-briefcase-medical::before { - content: "\f469"; } - -.fa-broom::before { - content: "\f51a"; } - -.fa-broom-ball::before { - content: "\f458"; } - -.fa-quidditch::before { - content: "\f458"; } - -.fa-quidditch-broom-ball::before { - content: "\f458"; } - -.fa-brush::before { - content: "\f55d"; } - -.fa-bucket::before { - content: "\e4cf"; } - -.fa-bug::before { - content: "\f188"; } - -.fa-bug-slash::before { - content: "\e490"; } - -.fa-bugs::before { - content: "\e4d0"; } - -.fa-building::before { - content: "\f1ad"; } - -.fa-building-circle-arrow-right::before { - content: "\e4d1"; } - -.fa-building-circle-check::before { - content: "\e4d2"; } - -.fa-building-circle-exclamation::before { - content: "\e4d3"; } - -.fa-building-circle-xmark::before { - content: "\e4d4"; } - -.fa-building-columns::before { - content: "\f19c"; } - -.fa-bank::before { - content: "\f19c"; } - -.fa-institution::before { - content: "\f19c"; } - -.fa-museum::before { - content: "\f19c"; } - -.fa-university::before { - content: "\f19c"; } - -.fa-building-flag::before { - content: "\e4d5"; } - -.fa-building-lock::before { - content: "\e4d6"; } - -.fa-building-ngo::before { - content: "\e4d7"; } - -.fa-building-shield::before { - content: "\e4d8"; } - -.fa-building-un::before { - content: "\e4d9"; } - -.fa-building-user::before { - content: "\e4da"; } - -.fa-building-wheat::before { - content: "\e4db"; } - -.fa-bullhorn::before { - content: "\f0a1"; } - -.fa-bullseye::before { - content: "\f140"; } - -.fa-burger::before { - content: "\f805"; } - -.fa-hamburger::before { - content: "\f805"; } - -.fa-burst::before { - content: "\e4dc"; } - -.fa-bus::before { - content: "\f207"; } - -.fa-bus-simple::before { - content: "\f55e"; } - -.fa-bus-alt::before { - content: "\f55e"; } - -.fa-business-time::before { - content: "\f64a"; } - -.fa-briefcase-clock::before { - content: "\f64a"; } - -.fa-c::before { - content: "\43"; } - -.fa-cake-candles::before { - content: "\f1fd"; } - -.fa-birthday-cake::before { - content: "\f1fd"; } - -.fa-cake::before { - content: "\f1fd"; } - -.fa-calculator::before { - content: "\f1ec"; } - -.fa-calendar::before { - content: "\f133"; } - -.fa-calendar-check::before { - content: "\f274"; } - -.fa-calendar-day::before { - content: "\f783"; } - -.fa-calendar-days::before { - content: "\f073"; } - -.fa-calendar-alt::before { - content: "\f073"; } - -.fa-calendar-minus::before { - content: "\f272"; } - -.fa-calendar-plus::before { - content: "\f271"; } - -.fa-calendar-week::before { - content: "\f784"; } - -.fa-calendar-xmark::before { - content: "\f273"; } - -.fa-calendar-times::before { - content: "\f273"; } - -.fa-camera::before { - content: "\f030"; } - -.fa-camera-alt::before { - content: "\f030"; } - -.fa-camera-retro::before { - content: "\f083"; } - -.fa-camera-rotate::before { - content: "\e0d8"; } - -.fa-campground::before { - content: "\f6bb"; } - -.fa-candy-cane::before { - content: "\f786"; } - -.fa-cannabis::before { - content: "\f55f"; } - -.fa-capsules::before { - content: "\f46b"; } - -.fa-car::before { - content: "\f1b9"; } - -.fa-automobile::before { - content: "\f1b9"; } - -.fa-car-battery::before { - content: "\f5df"; } - -.fa-battery-car::before { - content: "\f5df"; } - -.fa-car-burst::before { - content: "\f5e1"; } - -.fa-car-crash::before { - content: "\f5e1"; } - -.fa-car-on::before { - content: "\e4dd"; } - -.fa-car-rear::before { - content: "\f5de"; } - -.fa-car-alt::before { - content: "\f5de"; } - -.fa-car-side::before { - content: "\f5e4"; } - -.fa-car-tunnel::before { - content: "\e4de"; } - -.fa-caravan::before { - content: "\f8ff"; } - -.fa-caret-down::before { - content: "\f0d7"; } - -.fa-caret-left::before { - content: "\f0d9"; } - -.fa-caret-right::before { - content: "\f0da"; } - -.fa-caret-up::before { - content: "\f0d8"; } - -.fa-carrot::before { - content: "\f787"; } - -.fa-cart-arrow-down::before { - content: "\f218"; } - -.fa-cart-flatbed::before { - content: "\f474"; } - -.fa-dolly-flatbed::before { - content: "\f474"; } - -.fa-cart-flatbed-suitcase::before { - content: "\f59d"; } - -.fa-luggage-cart::before { - content: "\f59d"; } - -.fa-cart-plus::before { - content: "\f217"; } - -.fa-cart-shopping::before { - content: "\f07a"; } - -.fa-shopping-cart::before { - content: "\f07a"; } - -.fa-cash-register::before { - content: "\f788"; } - -.fa-cat::before { - content: "\f6be"; } - -.fa-cedi-sign::before { - content: "\e0df"; } - -.fa-cent-sign::before { - content: "\e3f5"; } - -.fa-certificate::before { - content: "\f0a3"; } - -.fa-chair::before { - content: "\f6c0"; } - -.fa-chalkboard::before { - content: "\f51b"; } - -.fa-blackboard::before { - content: "\f51b"; } - -.fa-chalkboard-user::before { - content: "\f51c"; } - -.fa-chalkboard-teacher::before { - content: "\f51c"; } - -.fa-champagne-glasses::before { - content: "\f79f"; } - -.fa-glass-cheers::before { - content: "\f79f"; } - -.fa-charging-station::before { - content: "\f5e7"; } - -.fa-chart-area::before { - content: "\f1fe"; } - -.fa-area-chart::before { - content: "\f1fe"; } - -.fa-chart-bar::before { - content: "\f080"; } - -.fa-bar-chart::before { - content: "\f080"; } - -.fa-chart-column::before { - content: "\e0e3"; } - -.fa-chart-gantt::before { - content: "\e0e4"; } - -.fa-chart-line::before { - content: "\f201"; } - -.fa-line-chart::before { - content: "\f201"; } - -.fa-chart-pie::before { - content: "\f200"; } - -.fa-pie-chart::before { - content: "\f200"; } - -.fa-chart-simple::before { - content: "\e473"; } - -.fa-check::before { - content: "\f00c"; } - -.fa-check-double::before { - content: "\f560"; } - -.fa-check-to-slot::before { - content: "\f772"; } - -.fa-vote-yea::before { - content: "\f772"; } - -.fa-cheese::before { - content: "\f7ef"; } - -.fa-chess::before { - content: "\f439"; } - -.fa-chess-bishop::before { - content: "\f43a"; } - -.fa-chess-board::before { - content: "\f43c"; } - -.fa-chess-king::before { - content: "\f43f"; } - -.fa-chess-knight::before { - content: "\f441"; } - -.fa-chess-pawn::before { - content: "\f443"; } - -.fa-chess-queen::before { - content: "\f445"; } - -.fa-chess-rook::before { - content: "\f447"; } - -.fa-chevron-down::before { - content: "\f078"; } - -.fa-chevron-left::before { - content: "\f053"; } - -.fa-chevron-right::before { - content: "\f054"; } - -.fa-chevron-up::before { - content: "\f077"; } - -.fa-child::before { - content: "\f1ae"; } - -.fa-child-dress::before { - content: "\e59c"; } - -.fa-child-reaching::before { - content: "\e59d"; } - -.fa-child-rifle::before { - content: "\e4e0"; } - -.fa-children::before { - content: "\e4e1"; } - -.fa-church::before { - content: "\f51d"; } - -.fa-circle::before { - content: "\f111"; } - -.fa-circle-arrow-down::before { - content: "\f0ab"; } - -.fa-arrow-circle-down::before { - content: "\f0ab"; } - -.fa-circle-arrow-left::before { - content: "\f0a8"; } - -.fa-arrow-circle-left::before { - content: "\f0a8"; } - -.fa-circle-arrow-right::before { - content: "\f0a9"; } - -.fa-arrow-circle-right::before { - content: "\f0a9"; } - -.fa-circle-arrow-up::before { - content: "\f0aa"; } - -.fa-arrow-circle-up::before { - content: "\f0aa"; } - -.fa-circle-check::before { - content: "\f058"; } - -.fa-check-circle::before { - content: "\f058"; } - -.fa-circle-chevron-down::before { - content: "\f13a"; } - -.fa-chevron-circle-down::before { - content: "\f13a"; } - -.fa-circle-chevron-left::before { - content: "\f137"; } - -.fa-chevron-circle-left::before { - content: "\f137"; } - -.fa-circle-chevron-right::before { - content: "\f138"; } - -.fa-chevron-circle-right::before { - content: "\f138"; } - -.fa-circle-chevron-up::before { - content: "\f139"; } - -.fa-chevron-circle-up::before { - content: "\f139"; } - -.fa-circle-dollar-to-slot::before { - content: "\f4b9"; } - -.fa-donate::before { - content: "\f4b9"; } - -.fa-circle-dot::before { - content: "\f192"; } - -.fa-dot-circle::before { - content: "\f192"; } - -.fa-circle-down::before { - content: "\f358"; } - -.fa-arrow-alt-circle-down::before { - content: "\f358"; } - -.fa-circle-exclamation::before { - content: "\f06a"; } - -.fa-exclamation-circle::before { - content: "\f06a"; } - -.fa-circle-h::before { - content: "\f47e"; } - -.fa-hospital-symbol::before { - content: "\f47e"; } - -.fa-circle-half-stroke::before { - content: "\f042"; } - -.fa-adjust::before { - content: "\f042"; } - -.fa-circle-info::before { - content: "\f05a"; } - -.fa-info-circle::before { - content: "\f05a"; } - -.fa-circle-left::before { - content: "\f359"; } - -.fa-arrow-alt-circle-left::before { - content: "\f359"; } - -.fa-circle-minus::before { - content: "\f056"; } - -.fa-minus-circle::before { - content: "\f056"; } - -.fa-circle-nodes::before { - content: "\e4e2"; } - -.fa-circle-notch::before { - content: "\f1ce"; } - -.fa-circle-pause::before { - content: "\f28b"; } - -.fa-pause-circle::before { - content: "\f28b"; } - -.fa-circle-play::before { - content: "\f144"; } - -.fa-play-circle::before { - content: "\f144"; } - -.fa-circle-plus::before { - content: "\f055"; } - -.fa-plus-circle::before { - content: "\f055"; } - -.fa-circle-question::before { - content: "\f059"; } - -.fa-question-circle::before { - content: "\f059"; } - -.fa-circle-radiation::before { - content: "\f7ba"; } - -.fa-radiation-alt::before { - content: "\f7ba"; } - -.fa-circle-right::before { - content: "\f35a"; } - -.fa-arrow-alt-circle-right::before { - content: "\f35a"; } - -.fa-circle-stop::before { - content: "\f28d"; } - -.fa-stop-circle::before { - content: "\f28d"; } - -.fa-circle-up::before { - content: "\f35b"; } - -.fa-arrow-alt-circle-up::before { - content: "\f35b"; } - -.fa-circle-user::before { - content: "\f2bd"; } - -.fa-user-circle::before { - content: "\f2bd"; } - -.fa-circle-xmark::before { - content: "\f057"; } - -.fa-times-circle::before { - content: "\f057"; } - -.fa-xmark-circle::before { - content: "\f057"; } - -.fa-city::before { - content: "\f64f"; } - -.fa-clapperboard::before { - content: "\e131"; } - -.fa-clipboard::before { - content: "\f328"; } - -.fa-clipboard-check::before { - content: "\f46c"; } - -.fa-clipboard-list::before { - content: "\f46d"; } - -.fa-clipboard-question::before { - content: "\e4e3"; } - -.fa-clipboard-user::before { - content: "\f7f3"; } - -.fa-clock::before { - content: "\f017"; } - -.fa-clock-four::before { - content: "\f017"; } - -.fa-clock-rotate-left::before { - content: "\f1da"; } - -.fa-history::before { - content: "\f1da"; } - -.fa-clone::before { - content: "\f24d"; } - -.fa-closed-captioning::before { - content: "\f20a"; } - -.fa-cloud::before { - content: "\f0c2"; } - -.fa-cloud-arrow-down::before { - content: "\f0ed"; } - -.fa-cloud-download::before { - content: "\f0ed"; } - -.fa-cloud-download-alt::before { - content: "\f0ed"; } - -.fa-cloud-arrow-up::before { - content: "\f0ee"; } - -.fa-cloud-upload::before { - content: "\f0ee"; } - -.fa-cloud-upload-alt::before { - content: "\f0ee"; } - -.fa-cloud-bolt::before { - content: "\f76c"; } - -.fa-thunderstorm::before { - content: "\f76c"; } - -.fa-cloud-meatball::before { - content: "\f73b"; } - -.fa-cloud-moon::before { - content: "\f6c3"; } - -.fa-cloud-moon-rain::before { - content: "\f73c"; } - -.fa-cloud-rain::before { - content: "\f73d"; } - -.fa-cloud-showers-heavy::before { - content: "\f740"; } - -.fa-cloud-showers-water::before { - content: "\e4e4"; } - -.fa-cloud-sun::before { - content: "\f6c4"; } - -.fa-cloud-sun-rain::before { - content: "\f743"; } - -.fa-clover::before { - content: "\e139"; } - -.fa-code::before { - content: "\f121"; } - -.fa-code-branch::before { - content: "\f126"; } - -.fa-code-commit::before { - content: "\f386"; } - -.fa-code-compare::before { - content: "\e13a"; } - -.fa-code-fork::before { - content: "\e13b"; } - -.fa-code-merge::before { - content: "\f387"; } - -.fa-code-pull-request::before { - content: "\e13c"; } - -.fa-coins::before { - content: "\f51e"; } - -.fa-colon-sign::before { - content: "\e140"; } - -.fa-comment::before { - content: "\f075"; } - -.fa-comment-dollar::before { - content: "\f651"; } - -.fa-comment-dots::before { - content: "\f4ad"; } - -.fa-commenting::before { - content: "\f4ad"; } - -.fa-comment-medical::before { - content: "\f7f5"; } - -.fa-comment-slash::before { - content: "\f4b3"; } - -.fa-comment-sms::before { - content: "\f7cd"; } - -.fa-sms::before { - content: "\f7cd"; } - -.fa-comments::before { - content: "\f086"; } - -.fa-comments-dollar::before { - content: "\f653"; } - -.fa-compact-disc::before { - content: "\f51f"; } - -.fa-compass::before { - content: "\f14e"; } - -.fa-compass-drafting::before { - content: "\f568"; } - -.fa-drafting-compass::before { - content: "\f568"; } - -.fa-compress::before { - content: "\f066"; } - -.fa-computer::before { - content: "\e4e5"; } - -.fa-computer-mouse::before { - content: "\f8cc"; } - -.fa-mouse::before { - content: "\f8cc"; } - -.fa-cookie::before { - content: "\f563"; } - -.fa-cookie-bite::before { - content: "\f564"; } - -.fa-copy::before { - content: "\f0c5"; } - -.fa-copyright::before { - content: "\f1f9"; } - -.fa-couch::before { - content: "\f4b8"; } - -.fa-cow::before { - content: "\f6c8"; } - -.fa-credit-card::before { - content: "\f09d"; } - -.fa-credit-card-alt::before { - content: "\f09d"; } - -.fa-crop::before { - content: "\f125"; } - -.fa-crop-simple::before { - content: "\f565"; } - -.fa-crop-alt::before { - content: "\f565"; } - -.fa-cross::before { - content: "\f654"; } - -.fa-crosshairs::before { - content: "\f05b"; } - -.fa-crow::before { - content: "\f520"; } - -.fa-crown::before { - content: "\f521"; } - -.fa-crutch::before { - content: "\f7f7"; } - -.fa-cruzeiro-sign::before { - content: "\e152"; } - -.fa-cube::before { - content: "\f1b2"; } - -.fa-cubes::before { - content: "\f1b3"; } - -.fa-cubes-stacked::before { - content: "\e4e6"; } - -.fa-d::before { - content: "\44"; } - -.fa-database::before { - content: "\f1c0"; } - -.fa-delete-left::before { - content: "\f55a"; } - -.fa-backspace::before { - content: "\f55a"; } - -.fa-democrat::before { - content: "\f747"; } - -.fa-desktop::before { - content: "\f390"; } - -.fa-desktop-alt::before { - content: "\f390"; } - -.fa-dharmachakra::before { - content: "\f655"; } - -.fa-diagram-next::before { - content: "\e476"; } - -.fa-diagram-predecessor::before { - content: "\e477"; } - -.fa-diagram-project::before { - content: "\f542"; } - -.fa-project-diagram::before { - content: "\f542"; } - -.fa-diagram-successor::before { - content: "\e47a"; } - -.fa-diamond::before { - content: "\f219"; } - -.fa-diamond-turn-right::before { - content: "\f5eb"; } - -.fa-directions::before { - content: "\f5eb"; } - -.fa-dice::before { - content: "\f522"; } - -.fa-dice-d20::before { - content: "\f6cf"; } - -.fa-dice-d6::before { - content: "\f6d1"; } - -.fa-dice-five::before { - content: "\f523"; } - -.fa-dice-four::before { - content: "\f524"; } - -.fa-dice-one::before { - content: "\f525"; } - -.fa-dice-six::before { - content: "\f526"; } - -.fa-dice-three::before { - content: "\f527"; } - -.fa-dice-two::before { - content: "\f528"; } - -.fa-disease::before { - content: "\f7fa"; } - -.fa-display::before { - content: "\e163"; } - -.fa-divide::before { - content: "\f529"; } - -.fa-dna::before { - content: "\f471"; } - -.fa-dog::before { - content: "\f6d3"; } - -.fa-dollar-sign::before { - content: "\24"; } - -.fa-dollar::before { - content: "\24"; } - -.fa-usd::before { - content: "\24"; } - -.fa-dolly::before { - content: "\f472"; } - -.fa-dolly-box::before { - content: "\f472"; } - -.fa-dong-sign::before { - content: "\e169"; } - -.fa-door-closed::before { - content: "\f52a"; } - -.fa-door-open::before { - content: "\f52b"; } - -.fa-dove::before { - content: "\f4ba"; } - -.fa-down-left-and-up-right-to-center::before { - content: "\f422"; } - -.fa-compress-alt::before { - content: "\f422"; } - -.fa-down-long::before { - content: "\f309"; } - -.fa-long-arrow-alt-down::before { - content: "\f309"; } - -.fa-download::before { - content: "\f019"; } - -.fa-dragon::before { - content: "\f6d5"; } - -.fa-draw-polygon::before { - content: "\f5ee"; } - -.fa-droplet::before { - content: "\f043"; } - -.fa-tint::before { - content: "\f043"; } - -.fa-droplet-slash::before { - content: "\f5c7"; } - -.fa-tint-slash::before { - content: "\f5c7"; } - -.fa-drum::before { - content: "\f569"; } - -.fa-drum-steelpan::before { - content: "\f56a"; } - -.fa-drumstick-bite::before { - content: "\f6d7"; } - -.fa-dumbbell::before { - content: "\f44b"; } - -.fa-dumpster::before { - content: "\f793"; } - -.fa-dumpster-fire::before { - content: "\f794"; } - -.fa-dungeon::before { - content: "\f6d9"; } - -.fa-e::before { - content: "\45"; } - -.fa-ear-deaf::before { - content: "\f2a4"; } - -.fa-deaf::before { - content: "\f2a4"; } - -.fa-deafness::before { - content: "\f2a4"; } - -.fa-hard-of-hearing::before { - content: "\f2a4"; } - -.fa-ear-listen::before { - content: "\f2a2"; } - -.fa-assistive-listening-systems::before { - content: "\f2a2"; } - -.fa-earth-africa::before { - content: "\f57c"; } - -.fa-globe-africa::before { - content: "\f57c"; } - -.fa-earth-americas::before { - content: "\f57d"; } - -.fa-earth::before { - content: "\f57d"; } - -.fa-earth-america::before { - content: "\f57d"; } - -.fa-globe-americas::before { - content: "\f57d"; } - -.fa-earth-asia::before { - content: "\f57e"; } - -.fa-globe-asia::before { - content: "\f57e"; } - -.fa-earth-europe::before { - content: "\f7a2"; } - -.fa-globe-europe::before { - content: "\f7a2"; } - -.fa-earth-oceania::before { - content: "\e47b"; } - -.fa-globe-oceania::before { - content: "\e47b"; } - -.fa-egg::before { - content: "\f7fb"; } - -.fa-eject::before { - content: "\f052"; } - -.fa-elevator::before { - content: "\e16d"; } - -.fa-ellipsis::before { - content: "\f141"; } - -.fa-ellipsis-h::before { - content: "\f141"; } - -.fa-ellipsis-vertical::before { - content: "\f142"; } - -.fa-ellipsis-v::before { - content: "\f142"; } - -.fa-envelope::before { - content: "\f0e0"; } - -.fa-envelope-circle-check::before { - content: "\e4e8"; } - -.fa-envelope-open::before { - content: "\f2b6"; } - -.fa-envelope-open-text::before { - content: "\f658"; } - -.fa-envelopes-bulk::before { - content: "\f674"; } - -.fa-mail-bulk::before { - content: "\f674"; } - -.fa-equals::before { - content: "\3d"; } - -.fa-eraser::before { - content: "\f12d"; } - -.fa-ethernet::before { - content: "\f796"; } - -.fa-euro-sign::before { - content: "\f153"; } - -.fa-eur::before { - content: "\f153"; } - -.fa-euro::before { - content: "\f153"; } - -.fa-exclamation::before { - content: "\21"; } - -.fa-expand::before { - content: "\f065"; } - -.fa-explosion::before { - content: "\e4e9"; } - -.fa-eye::before { - content: "\f06e"; } - -.fa-eye-dropper::before { - content: "\f1fb"; } - -.fa-eye-dropper-empty::before { - content: "\f1fb"; } - -.fa-eyedropper::before { - content: "\f1fb"; } - -.fa-eye-low-vision::before { - content: "\f2a8"; } - -.fa-low-vision::before { - content: "\f2a8"; } - -.fa-eye-slash::before { - content: "\f070"; } - -.fa-f::before { - content: "\46"; } - -.fa-face-angry::before { - content: "\f556"; } - -.fa-angry::before { - content: "\f556"; } - -.fa-face-dizzy::before { - content: "\f567"; } - -.fa-dizzy::before { - content: "\f567"; } - -.fa-face-flushed::before { - content: "\f579"; } - -.fa-flushed::before { - content: "\f579"; } - -.fa-face-frown::before { - content: "\f119"; } - -.fa-frown::before { - content: "\f119"; } - -.fa-face-frown-open::before { - content: "\f57a"; } - -.fa-frown-open::before { - content: "\f57a"; } - -.fa-face-grimace::before { - content: "\f57f"; } - -.fa-grimace::before { - content: "\f57f"; } - -.fa-face-grin::before { - content: "\f580"; } - -.fa-grin::before { - content: "\f580"; } - -.fa-face-grin-beam::before { - content: "\f582"; } - -.fa-grin-beam::before { - content: "\f582"; } - -.fa-face-grin-beam-sweat::before { - content: "\f583"; } - -.fa-grin-beam-sweat::before { - content: "\f583"; } - -.fa-face-grin-hearts::before { - content: "\f584"; } - -.fa-grin-hearts::before { - content: "\f584"; } - -.fa-face-grin-squint::before { - content: "\f585"; } - -.fa-grin-squint::before { - content: "\f585"; } - -.fa-face-grin-squint-tears::before { - content: "\f586"; } - -.fa-grin-squint-tears::before { - content: "\f586"; } - -.fa-face-grin-stars::before { - content: "\f587"; } - -.fa-grin-stars::before { - content: "\f587"; } - -.fa-face-grin-tears::before { - content: "\f588"; } - -.fa-grin-tears::before { - content: "\f588"; } - -.fa-face-grin-tongue::before { - content: "\f589"; } - -.fa-grin-tongue::before { - content: "\f589"; } - -.fa-face-grin-tongue-squint::before { - content: "\f58a"; } - -.fa-grin-tongue-squint::before { - content: "\f58a"; } - -.fa-face-grin-tongue-wink::before { - content: "\f58b"; } - -.fa-grin-tongue-wink::before { - content: "\f58b"; } - -.fa-face-grin-wide::before { - content: "\f581"; } - -.fa-grin-alt::before { - content: "\f581"; } - -.fa-face-grin-wink::before { - content: "\f58c"; } - -.fa-grin-wink::before { - content: "\f58c"; } - -.fa-face-kiss::before { - content: "\f596"; } - -.fa-kiss::before { - content: "\f596"; } - -.fa-face-kiss-beam::before { - content: "\f597"; } - -.fa-kiss-beam::before { - content: "\f597"; } - -.fa-face-kiss-wink-heart::before { - content: "\f598"; } - -.fa-kiss-wink-heart::before { - content: "\f598"; } - -.fa-face-laugh::before { - content: "\f599"; } - -.fa-laugh::before { - content: "\f599"; } - -.fa-face-laugh-beam::before { - content: "\f59a"; } - -.fa-laugh-beam::before { - content: "\f59a"; } - -.fa-face-laugh-squint::before { - content: "\f59b"; } - -.fa-laugh-squint::before { - content: "\f59b"; } - -.fa-face-laugh-wink::before { - content: "\f59c"; } - -.fa-laugh-wink::before { - content: "\f59c"; } - -.fa-face-meh::before { - content: "\f11a"; } - -.fa-meh::before { - content: "\f11a"; } - -.fa-face-meh-blank::before { - content: "\f5a4"; } - -.fa-meh-blank::before { - content: "\f5a4"; } - -.fa-face-rolling-eyes::before { - content: "\f5a5"; } - -.fa-meh-rolling-eyes::before { - content: "\f5a5"; } - -.fa-face-sad-cry::before { - content: "\f5b3"; } - -.fa-sad-cry::before { - content: "\f5b3"; } - -.fa-face-sad-tear::before { - content: "\f5b4"; } - -.fa-sad-tear::before { - content: "\f5b4"; } - -.fa-face-smile::before { - content: "\f118"; } - -.fa-smile::before { - content: "\f118"; } - -.fa-face-smile-beam::before { - content: "\f5b8"; } - -.fa-smile-beam::before { - content: "\f5b8"; } - -.fa-face-smile-wink::before { - content: "\f4da"; } - -.fa-smile-wink::before { - content: "\f4da"; } - -.fa-face-surprise::before { - content: "\f5c2"; } - -.fa-surprise::before { - content: "\f5c2"; } - -.fa-face-tired::before { - content: "\f5c8"; } - -.fa-tired::before { - content: "\f5c8"; } - -.fa-fan::before { - content: "\f863"; } - -.fa-faucet::before { - content: "\e005"; } - -.fa-faucet-drip::before { - content: "\e006"; } - -.fa-fax::before { - content: "\f1ac"; } - -.fa-feather::before { - content: "\f52d"; } - -.fa-feather-pointed::before { - content: "\f56b"; } - -.fa-feather-alt::before { - content: "\f56b"; } - -.fa-ferry::before { - content: "\e4ea"; } - -.fa-file::before { - content: "\f15b"; } - -.fa-file-arrow-down::before { - content: "\f56d"; } - -.fa-file-download::before { - content: "\f56d"; } - -.fa-file-arrow-up::before { - content: "\f574"; } - -.fa-file-upload::before { - content: "\f574"; } - -.fa-file-audio::before { - content: "\f1c7"; } - -.fa-file-circle-check::before { - content: "\e493"; } - -.fa-file-circle-exclamation::before { - content: "\e4eb"; } - -.fa-file-circle-minus::before { - content: "\e4ed"; } - -.fa-file-circle-plus::before { - content: "\e4ee"; } - -.fa-file-circle-question::before { - content: "\e4ef"; } - -.fa-file-circle-xmark::before { - content: "\e494"; } - -.fa-file-code::before { - content: "\f1c9"; } - -.fa-file-contract::before { - content: "\f56c"; } - -.fa-file-csv::before { - content: "\f6dd"; } - -.fa-file-excel::before { - content: "\f1c3"; } - -.fa-file-export::before { - content: "\f56e"; } - -.fa-arrow-right-from-file::before { - content: "\f56e"; } - -.fa-file-image::before { - content: "\f1c5"; } - -.fa-file-import::before { - content: "\f56f"; } - -.fa-arrow-right-to-file::before { - content: "\f56f"; } - -.fa-file-invoice::before { - content: "\f570"; } - -.fa-file-invoice-dollar::before { - content: "\f571"; } - -.fa-file-lines::before { - content: "\f15c"; } - -.fa-file-alt::before { - content: "\f15c"; } - -.fa-file-text::before { - content: "\f15c"; } - -.fa-file-medical::before { - content: "\f477"; } - -.fa-file-pdf::before { - content: "\f1c1"; } - -.fa-file-pen::before { - content: "\f31c"; } - -.fa-file-edit::before { - content: "\f31c"; } - -.fa-file-powerpoint::before { - content: "\f1c4"; } - -.fa-file-prescription::before { - content: "\f572"; } - -.fa-file-shield::before { - content: "\e4f0"; } - -.fa-file-signature::before { - content: "\f573"; } - -.fa-file-video::before { - content: "\f1c8"; } - -.fa-file-waveform::before { - content: "\f478"; } - -.fa-file-medical-alt::before { - content: "\f478"; } - -.fa-file-word::before { - content: "\f1c2"; } - -.fa-file-zipper::before { - content: "\f1c6"; } - -.fa-file-archive::before { - content: "\f1c6"; } - -.fa-fill::before { - content: "\f575"; } - -.fa-fill-drip::before { - content: "\f576"; } - -.fa-film::before { - content: "\f008"; } - -.fa-filter::before { - content: "\f0b0"; } - -.fa-filter-circle-dollar::before { - content: "\f662"; } - -.fa-funnel-dollar::before { - content: "\f662"; } - -.fa-filter-circle-xmark::before { - content: "\e17b"; } - -.fa-fingerprint::before { - content: "\f577"; } - -.fa-fire::before { - content: "\f06d"; } - -.fa-fire-burner::before { - content: "\e4f1"; } - -.fa-fire-extinguisher::before { - content: "\f134"; } - -.fa-fire-flame-curved::before { - content: "\f7e4"; } - -.fa-fire-alt::before { - content: "\f7e4"; } - -.fa-fire-flame-simple::before { - content: "\f46a"; } - -.fa-burn::before { - content: "\f46a"; } - -.fa-fish::before { - content: "\f578"; } - -.fa-fish-fins::before { - content: "\e4f2"; } - -.fa-flag::before { - content: "\f024"; } - -.fa-flag-checkered::before { - content: "\f11e"; } - -.fa-flag-usa::before { - content: "\f74d"; } - -.fa-flask::before { - content: "\f0c3"; } - -.fa-flask-vial::before { - content: "\e4f3"; } - -.fa-floppy-disk::before { - content: "\f0c7"; } - -.fa-save::before { - content: "\f0c7"; } - -.fa-florin-sign::before { - content: "\e184"; } - -.fa-folder::before { - content: "\f07b"; } - -.fa-folder-blank::before { - content: "\f07b"; } - -.fa-folder-closed::before { - content: "\e185"; } - -.fa-folder-minus::before { - content: "\f65d"; } - -.fa-folder-open::before { - content: "\f07c"; } - -.fa-folder-plus::before { - content: "\f65e"; } - -.fa-folder-tree::before { - content: "\f802"; } - -.fa-font::before { - content: "\f031"; } - -.fa-football::before { - content: "\f44e"; } - -.fa-football-ball::before { - content: "\f44e"; } - -.fa-forward::before { - content: "\f04e"; } - -.fa-forward-fast::before { - content: "\f050"; } - -.fa-fast-forward::before { - content: "\f050"; } - -.fa-forward-step::before { - content: "\f051"; } - -.fa-step-forward::before { - content: "\f051"; } - -.fa-franc-sign::before { - content: "\e18f"; } - -.fa-frog::before { - content: "\f52e"; } - -.fa-futbol::before { - content: "\f1e3"; } - -.fa-futbol-ball::before { - content: "\f1e3"; } - -.fa-soccer-ball::before { - content: "\f1e3"; } - -.fa-g::before { - content: "\47"; } - -.fa-gamepad::before { - content: "\f11b"; } - -.fa-gas-pump::before { - content: "\f52f"; } - -.fa-gauge::before { - content: "\f624"; } - -.fa-dashboard::before { - content: "\f624"; } - -.fa-gauge-med::before { - content: "\f624"; } - -.fa-tachometer-alt-average::before { - content: "\f624"; } - -.fa-gauge-high::before { - content: "\f625"; } - -.fa-tachometer-alt::before { - content: "\f625"; } - -.fa-tachometer-alt-fast::before { - content: "\f625"; } - -.fa-gauge-simple::before { - content: "\f629"; } - -.fa-gauge-simple-med::before { - content: "\f629"; } - -.fa-tachometer-average::before { - content: "\f629"; } - -.fa-gauge-simple-high::before { - content: "\f62a"; } - -.fa-tachometer::before { - content: "\f62a"; } - -.fa-tachometer-fast::before { - content: "\f62a"; } - -.fa-gavel::before { - content: "\f0e3"; } - -.fa-legal::before { - content: "\f0e3"; } - -.fa-gear::before { - content: "\f013"; } - -.fa-cog::before { - content: "\f013"; } - -.fa-gears::before { - content: "\f085"; } - -.fa-cogs::before { - content: "\f085"; } - -.fa-gem::before { - content: "\f3a5"; } - -.fa-genderless::before { - content: "\f22d"; } - -.fa-ghost::before { - content: "\f6e2"; } - -.fa-gift::before { - content: "\f06b"; } - -.fa-gifts::before { - content: "\f79c"; } - -.fa-glass-water::before { - content: "\e4f4"; } - -.fa-glass-water-droplet::before { - content: "\e4f5"; } - -.fa-glasses::before { - content: "\f530"; } - -.fa-globe::before { - content: "\f0ac"; } - -.fa-golf-ball-tee::before { - content: "\f450"; } - -.fa-golf-ball::before { - content: "\f450"; } - -.fa-gopuram::before { - content: "\f664"; } - -.fa-graduation-cap::before { - content: "\f19d"; } - -.fa-mortar-board::before { - content: "\f19d"; } - -.fa-greater-than::before { - content: "\3e"; } - -.fa-greater-than-equal::before { - content: "\f532"; } - -.fa-grip::before { - content: "\f58d"; } - -.fa-grip-horizontal::before { - content: "\f58d"; } - -.fa-grip-lines::before { - content: "\f7a4"; } - -.fa-grip-lines-vertical::before { - content: "\f7a5"; } - -.fa-grip-vertical::before { - content: "\f58e"; } - -.fa-group-arrows-rotate::before { - content: "\e4f6"; } - -.fa-guarani-sign::before { - content: "\e19a"; } - -.fa-guitar::before { - content: "\f7a6"; } - -.fa-gun::before { - content: "\e19b"; } - -.fa-h::before { - content: "\48"; } - -.fa-hammer::before { - content: "\f6e3"; } - -.fa-hamsa::before { - content: "\f665"; } - -.fa-hand::before { - content: "\f256"; } - -.fa-hand-paper::before { - content: "\f256"; } - -.fa-hand-back-fist::before { - content: "\f255"; } - -.fa-hand-rock::before { - content: "\f255"; } - -.fa-hand-dots::before { - content: "\f461"; } - -.fa-allergies::before { - content: "\f461"; } - -.fa-hand-fist::before { - content: "\f6de"; } - -.fa-fist-raised::before { - content: "\f6de"; } - -.fa-hand-holding::before { - content: "\f4bd"; } - -.fa-hand-holding-dollar::before { - content: "\f4c0"; } - -.fa-hand-holding-usd::before { - content: "\f4c0"; } - -.fa-hand-holding-droplet::before { - content: "\f4c1"; } - -.fa-hand-holding-water::before { - content: "\f4c1"; } - -.fa-hand-holding-hand::before { - content: "\e4f7"; } - -.fa-hand-holding-heart::before { - content: "\f4be"; } - -.fa-hand-holding-medical::before { - content: "\e05c"; } - -.fa-hand-lizard::before { - content: "\f258"; } - -.fa-hand-middle-finger::before { - content: "\f806"; } - -.fa-hand-peace::before { - content: "\f25b"; } - -.fa-hand-point-down::before { - content: "\f0a7"; } - -.fa-hand-point-left::before { - content: "\f0a5"; } - -.fa-hand-point-right::before { - content: "\f0a4"; } - -.fa-hand-point-up::before { - content: "\f0a6"; } - -.fa-hand-pointer::before { - content: "\f25a"; } - -.fa-hand-scissors::before { - content: "\f257"; } - -.fa-hand-sparkles::before { - content: "\e05d"; } - -.fa-hand-spock::before { - content: "\f259"; } - -.fa-handcuffs::before { - content: "\e4f8"; } - -.fa-hands::before { - content: "\f2a7"; } - -.fa-sign-language::before { - content: "\f2a7"; } - -.fa-signing::before { - content: "\f2a7"; } - -.fa-hands-asl-interpreting::before { - content: "\f2a3"; } - -.fa-american-sign-language-interpreting::before { - content: "\f2a3"; } - -.fa-asl-interpreting::before { - content: "\f2a3"; } - -.fa-hands-american-sign-language-interpreting::before { - content: "\f2a3"; } - -.fa-hands-bound::before { - content: "\e4f9"; } - -.fa-hands-bubbles::before { - content: "\e05e"; } - -.fa-hands-wash::before { - content: "\e05e"; } - -.fa-hands-clapping::before { - content: "\e1a8"; } - -.fa-hands-holding::before { - content: "\f4c2"; } - -.fa-hands-holding-child::before { - content: "\e4fa"; } - -.fa-hands-holding-circle::before { - content: "\e4fb"; } - -.fa-hands-praying::before { - content: "\f684"; } - -.fa-praying-hands::before { - content: "\f684"; } - -.fa-handshake::before { - content: "\f2b5"; } - -.fa-handshake-angle::before { - content: "\f4c4"; } - -.fa-hands-helping::before { - content: "\f4c4"; } - -.fa-handshake-simple::before { - content: "\f4c6"; } - -.fa-handshake-alt::before { - content: "\f4c6"; } - -.fa-handshake-simple-slash::before { - content: "\e05f"; } - -.fa-handshake-alt-slash::before { - content: "\e05f"; } - -.fa-handshake-slash::before { - content: "\e060"; } - -.fa-hanukiah::before { - content: "\f6e6"; } - -.fa-hard-drive::before { - content: "\f0a0"; } - -.fa-hdd::before { - content: "\f0a0"; } - -.fa-hashtag::before { - content: "\23"; } - -.fa-hat-cowboy::before { - content: "\f8c0"; } - -.fa-hat-cowboy-side::before { - content: "\f8c1"; } - -.fa-hat-wizard::before { - content: "\f6e8"; } - -.fa-head-side-cough::before { - content: "\e061"; } - -.fa-head-side-cough-slash::before { - content: "\e062"; } - -.fa-head-side-mask::before { - content: "\e063"; } - -.fa-head-side-virus::before { - content: "\e064"; } - -.fa-heading::before { - content: "\f1dc"; } - -.fa-header::before { - content: "\f1dc"; } - -.fa-headphones::before { - content: "\f025"; } - -.fa-headphones-simple::before { - content: "\f58f"; } - -.fa-headphones-alt::before { - content: "\f58f"; } - -.fa-headset::before { - content: "\f590"; } - -.fa-heart::before { - content: "\f004"; } - -.fa-heart-circle-bolt::before { - content: "\e4fc"; } - -.fa-heart-circle-check::before { - content: "\e4fd"; } - -.fa-heart-circle-exclamation::before { - content: "\e4fe"; } - -.fa-heart-circle-minus::before { - content: "\e4ff"; } - -.fa-heart-circle-plus::before { - content: "\e500"; } - -.fa-heart-circle-xmark::before { - content: "\e501"; } - -.fa-heart-crack::before { - content: "\f7a9"; } - -.fa-heart-broken::before { - content: "\f7a9"; } - -.fa-heart-pulse::before { - content: "\f21e"; } - -.fa-heartbeat::before { - content: "\f21e"; } - -.fa-helicopter::before { - content: "\f533"; } - -.fa-helicopter-symbol::before { - content: "\e502"; } - -.fa-helmet-safety::before { - content: "\f807"; } - -.fa-hard-hat::before { - content: "\f807"; } - -.fa-hat-hard::before { - content: "\f807"; } - -.fa-helmet-un::before { - content: "\e503"; } - -.fa-highlighter::before { - content: "\f591"; } - -.fa-hill-avalanche::before { - content: "\e507"; } - -.fa-hill-rockslide::before { - content: "\e508"; } - -.fa-hippo::before { - content: "\f6ed"; } - -.fa-hockey-puck::before { - content: "\f453"; } - -.fa-holly-berry::before { - content: "\f7aa"; } - -.fa-horse::before { - content: "\f6f0"; } - -.fa-horse-head::before { - content: "\f7ab"; } - -.fa-hospital::before { - content: "\f0f8"; } - -.fa-hospital-alt::before { - content: "\f0f8"; } - -.fa-hospital-wide::before { - content: "\f0f8"; } - -.fa-hospital-user::before { - content: "\f80d"; } - -.fa-hot-tub-person::before { - content: "\f593"; } - -.fa-hot-tub::before { - content: "\f593"; } - -.fa-hotdog::before { - content: "\f80f"; } - -.fa-hotel::before { - content: "\f594"; } - -.fa-hourglass::before { - content: "\f254"; } - -.fa-hourglass-2::before { - content: "\f254"; } - -.fa-hourglass-half::before { - content: "\f254"; } - -.fa-hourglass-empty::before { - content: "\f252"; } - -.fa-hourglass-end::before { - content: "\f253"; } - -.fa-hourglass-3::before { - content: "\f253"; } - -.fa-hourglass-start::before { - content: "\f251"; } - -.fa-hourglass-1::before { - content: "\f251"; } - -.fa-house::before { - content: "\f015"; } - -.fa-home::before { - content: "\f015"; } - -.fa-home-alt::before { - content: "\f015"; } - -.fa-home-lg-alt::before { - content: "\f015"; } - -.fa-house-chimney::before { - content: "\e3af"; } - -.fa-home-lg::before { - content: "\e3af"; } - -.fa-house-chimney-crack::before { - content: "\f6f1"; } - -.fa-house-damage::before { - content: "\f6f1"; } - -.fa-house-chimney-medical::before { - content: "\f7f2"; } - -.fa-clinic-medical::before { - content: "\f7f2"; } - -.fa-house-chimney-user::before { - content: "\e065"; } - -.fa-house-chimney-window::before { - content: "\e00d"; } - -.fa-house-circle-check::before { - content: "\e509"; } - -.fa-house-circle-exclamation::before { - content: "\e50a"; } - -.fa-house-circle-xmark::before { - content: "\e50b"; } - -.fa-house-crack::before { - content: "\e3b1"; } - -.fa-house-fire::before { - content: "\e50c"; } - -.fa-house-flag::before { - content: "\e50d"; } - -.fa-house-flood-water::before { - content: "\e50e"; } - -.fa-house-flood-water-circle-arrow-right::before { - content: "\e50f"; } - -.fa-house-laptop::before { - content: "\e066"; } - -.fa-laptop-house::before { - content: "\e066"; } - -.fa-house-lock::before { - content: "\e510"; } - -.fa-house-medical::before { - content: "\e3b2"; } - -.fa-house-medical-circle-check::before { - content: "\e511"; } - -.fa-house-medical-circle-exclamation::before { - content: "\e512"; } - -.fa-house-medical-circle-xmark::before { - content: "\e513"; } - -.fa-house-medical-flag::before { - content: "\e514"; } - -.fa-house-signal::before { - content: "\e012"; } - -.fa-house-tsunami::before { - content: "\e515"; } - -.fa-house-user::before { - content: "\e1b0"; } - -.fa-home-user::before { - content: "\e1b0"; } - -.fa-hryvnia-sign::before { - content: "\f6f2"; } - -.fa-hryvnia::before { - content: "\f6f2"; } - -.fa-hurricane::before { - content: "\f751"; } - -.fa-i::before { - content: "\49"; } - -.fa-i-cursor::before { - content: "\f246"; } - -.fa-ice-cream::before { - content: "\f810"; } - -.fa-icicles::before { - content: "\f7ad"; } - -.fa-icons::before { - content: "\f86d"; } - -.fa-heart-music-camera-bolt::before { - content: "\f86d"; } - -.fa-id-badge::before { - content: "\f2c1"; } - -.fa-id-card::before { - content: "\f2c2"; } - -.fa-drivers-license::before { - content: "\f2c2"; } - -.fa-id-card-clip::before { - content: "\f47f"; } - -.fa-id-card-alt::before { - content: "\f47f"; } - -.fa-igloo::before { - content: "\f7ae"; } - -.fa-image::before { - content: "\f03e"; } - -.fa-image-portrait::before { - content: "\f3e0"; } - -.fa-portrait::before { - content: "\f3e0"; } - -.fa-images::before { - content: "\f302"; } - -.fa-inbox::before { - content: "\f01c"; } - -.fa-indent::before { - content: "\f03c"; } - -.fa-indian-rupee-sign::before { - content: "\e1bc"; } - -.fa-indian-rupee::before { - content: "\e1bc"; } - -.fa-inr::before { - content: "\e1bc"; } - -.fa-industry::before { - content: "\f275"; } - -.fa-infinity::before { - content: "\f534"; } - -.fa-info::before { - content: "\f129"; } - -.fa-italic::before { - content: "\f033"; } - -.fa-j::before { - content: "\4a"; } - -.fa-jar::before { - content: "\e516"; } - -.fa-jar-wheat::before { - content: "\e517"; } - -.fa-jedi::before { - content: "\f669"; } - -.fa-jet-fighter::before { - content: "\f0fb"; } - -.fa-fighter-jet::before { - content: "\f0fb"; } - -.fa-jet-fighter-up::before { - content: "\e518"; } - -.fa-joint::before { - content: "\f595"; } - -.fa-jug-detergent::before { - content: "\e519"; } - -.fa-k::before { - content: "\4b"; } - -.fa-kaaba::before { - content: "\f66b"; } - -.fa-key::before { - content: "\f084"; } - -.fa-keyboard::before { - content: "\f11c"; } - -.fa-khanda::before { - content: "\f66d"; } - -.fa-kip-sign::before { - content: "\e1c4"; } - -.fa-kit-medical::before { - content: "\f479"; } - -.fa-first-aid::before { - content: "\f479"; } - -.fa-kitchen-set::before { - content: "\e51a"; } - -.fa-kiwi-bird::before { - content: "\f535"; } - -.fa-l::before { - content: "\4c"; } - -.fa-land-mine-on::before { - content: "\e51b"; } - -.fa-landmark::before { - content: "\f66f"; } - -.fa-landmark-dome::before { - content: "\f752"; } - -.fa-landmark-alt::before { - content: "\f752"; } - -.fa-landmark-flag::before { - content: "\e51c"; } - -.fa-language::before { - content: "\f1ab"; } - -.fa-laptop::before { - content: "\f109"; } - -.fa-laptop-code::before { - content: "\f5fc"; } - -.fa-laptop-file::before { - content: "\e51d"; } - -.fa-laptop-medical::before { - content: "\f812"; } - -.fa-lari-sign::before { - content: "\e1c8"; } - -.fa-layer-group::before { - content: "\f5fd"; } - -.fa-leaf::before { - content: "\f06c"; } - -.fa-left-long::before { - content: "\f30a"; } - -.fa-long-arrow-alt-left::before { - content: "\f30a"; } - -.fa-left-right::before { - content: "\f337"; } - -.fa-arrows-alt-h::before { - content: "\f337"; } - -.fa-lemon::before { - content: "\f094"; } - -.fa-less-than::before { - content: "\3c"; } - -.fa-less-than-equal::before { - content: "\f537"; } - -.fa-life-ring::before { - content: "\f1cd"; } - -.fa-lightbulb::before { - content: "\f0eb"; } - -.fa-lines-leaning::before { - content: "\e51e"; } - -.fa-link::before { - content: "\f0c1"; } - -.fa-chain::before { - content: "\f0c1"; } - -.fa-link-slash::before { - content: "\f127"; } - -.fa-chain-broken::before { - content: "\f127"; } - -.fa-chain-slash::before { - content: "\f127"; } - -.fa-unlink::before { - content: "\f127"; } - -.fa-lira-sign::before { - content: "\f195"; } - -.fa-list::before { - content: "\f03a"; } - -.fa-list-squares::before { - content: "\f03a"; } - -.fa-list-check::before { - content: "\f0ae"; } - -.fa-tasks::before { - content: "\f0ae"; } - -.fa-list-ol::before { - content: "\f0cb"; } - -.fa-list-1-2::before { - content: "\f0cb"; } - -.fa-list-numeric::before { - content: "\f0cb"; } - -.fa-list-ul::before { - content: "\f0ca"; } - -.fa-list-dots::before { - content: "\f0ca"; } - -.fa-litecoin-sign::before { - content: "\e1d3"; } - -.fa-location-arrow::before { - content: "\f124"; } - -.fa-location-crosshairs::before { - content: "\f601"; } - -.fa-location::before { - content: "\f601"; } - -.fa-location-dot::before { - content: "\f3c5"; } - -.fa-map-marker-alt::before { - content: "\f3c5"; } - -.fa-location-pin::before { - content: "\f041"; } - -.fa-map-marker::before { - content: "\f041"; } - -.fa-location-pin-lock::before { - content: "\e51f"; } - -.fa-lock::before { - content: "\f023"; } - -.fa-lock-open::before { - content: "\f3c1"; } - -.fa-locust::before { - content: "\e520"; } - -.fa-lungs::before { - content: "\f604"; } - -.fa-lungs-virus::before { - content: "\e067"; } - -.fa-m::before { - content: "\4d"; } - -.fa-magnet::before { - content: "\f076"; } - -.fa-magnifying-glass::before { - content: "\f002"; } - -.fa-search::before { - content: "\f002"; } - -.fa-magnifying-glass-arrow-right::before { - content: "\e521"; } - -.fa-magnifying-glass-chart::before { - content: "\e522"; } - -.fa-magnifying-glass-dollar::before { - content: "\f688"; } - -.fa-search-dollar::before { - content: "\f688"; } - -.fa-magnifying-glass-location::before { - content: "\f689"; } - -.fa-search-location::before { - content: "\f689"; } - -.fa-magnifying-glass-minus::before { - content: "\f010"; } - -.fa-search-minus::before { - content: "\f010"; } - -.fa-magnifying-glass-plus::before { - content: "\f00e"; } - -.fa-search-plus::before { - content: "\f00e"; } - -.fa-manat-sign::before { - content: "\e1d5"; } - -.fa-map::before { - content: "\f279"; } - -.fa-map-location::before { - content: "\f59f"; } - -.fa-map-marked::before { - content: "\f59f"; } - -.fa-map-location-dot::before { - content: "\f5a0"; } - -.fa-map-marked-alt::before { - content: "\f5a0"; } - -.fa-map-pin::before { - content: "\f276"; } - -.fa-marker::before { - content: "\f5a1"; } - -.fa-mars::before { - content: "\f222"; } - -.fa-mars-and-venus::before { - content: "\f224"; } - -.fa-mars-and-venus-burst::before { - content: "\e523"; } - -.fa-mars-double::before { - content: "\f227"; } - -.fa-mars-stroke::before { - content: "\f229"; } - -.fa-mars-stroke-right::before { - content: "\f22b"; } - -.fa-mars-stroke-h::before { - content: "\f22b"; } - -.fa-mars-stroke-up::before { - content: "\f22a"; } - -.fa-mars-stroke-v::before { - content: "\f22a"; } - -.fa-martini-glass::before { - content: "\f57b"; } - -.fa-glass-martini-alt::before { - content: "\f57b"; } - -.fa-martini-glass-citrus::before { - content: "\f561"; } - -.fa-cocktail::before { - content: "\f561"; } - -.fa-martini-glass-empty::before { - content: "\f000"; } - -.fa-glass-martini::before { - content: "\f000"; } - -.fa-mask::before { - content: "\f6fa"; } - -.fa-mask-face::before { - content: "\e1d7"; } - -.fa-mask-ventilator::before { - content: "\e524"; } - -.fa-masks-theater::before { - content: "\f630"; } - -.fa-theater-masks::before { - content: "\f630"; } - -.fa-mattress-pillow::before { - content: "\e525"; } - -.fa-maximize::before { - content: "\f31e"; } - -.fa-expand-arrows-alt::before { - content: "\f31e"; } - -.fa-medal::before { - content: "\f5a2"; } - -.fa-memory::before { - content: "\f538"; } - -.fa-menorah::before { - content: "\f676"; } - -.fa-mercury::before { - content: "\f223"; } - -.fa-message::before { - content: "\f27a"; } - -.fa-comment-alt::before { - content: "\f27a"; } - -.fa-meteor::before { - content: "\f753"; } - -.fa-microchip::before { - content: "\f2db"; } - -.fa-microphone::before { - content: "\f130"; } - -.fa-microphone-lines::before { - content: "\f3c9"; } - -.fa-microphone-alt::before { - content: "\f3c9"; } - -.fa-microphone-lines-slash::before { - content: "\f539"; } - -.fa-microphone-alt-slash::before { - content: "\f539"; } - -.fa-microphone-slash::before { - content: "\f131"; } - -.fa-microscope::before { - content: "\f610"; } - -.fa-mill-sign::before { - content: "\e1ed"; } - -.fa-minimize::before { - content: "\f78c"; } - -.fa-compress-arrows-alt::before { - content: "\f78c"; } - -.fa-minus::before { - content: "\f068"; } - -.fa-subtract::before { - content: "\f068"; } - -.fa-mitten::before { - content: "\f7b5"; } - -.fa-mobile::before { - content: "\f3ce"; } - -.fa-mobile-android::before { - content: "\f3ce"; } - -.fa-mobile-phone::before { - content: "\f3ce"; } - -.fa-mobile-button::before { - content: "\f10b"; } - -.fa-mobile-retro::before { - content: "\e527"; } - -.fa-mobile-screen::before { - content: "\f3cf"; } - -.fa-mobile-android-alt::before { - content: "\f3cf"; } - -.fa-mobile-screen-button::before { - content: "\f3cd"; } - -.fa-mobile-alt::before { - content: "\f3cd"; } - -.fa-money-bill::before { - content: "\f0d6"; } - -.fa-money-bill-1::before { - content: "\f3d1"; } - -.fa-money-bill-alt::before { - content: "\f3d1"; } - -.fa-money-bill-1-wave::before { - content: "\f53b"; } - -.fa-money-bill-wave-alt::before { - content: "\f53b"; } - -.fa-money-bill-transfer::before { - content: "\e528"; } - -.fa-money-bill-trend-up::before { - content: "\e529"; } - -.fa-money-bill-wave::before { - content: "\f53a"; } - -.fa-money-bill-wheat::before { - content: "\e52a"; } - -.fa-money-bills::before { - content: "\e1f3"; } - -.fa-money-check::before { - content: "\f53c"; } - -.fa-money-check-dollar::before { - content: "\f53d"; } - -.fa-money-check-alt::before { - content: "\f53d"; } - -.fa-monument::before { - content: "\f5a6"; } - -.fa-moon::before { - content: "\f186"; } - -.fa-mortar-pestle::before { - content: "\f5a7"; } - -.fa-mosque::before { - content: "\f678"; } - -.fa-mosquito::before { - content: "\e52b"; } - -.fa-mosquito-net::before { - content: "\e52c"; } - -.fa-motorcycle::before { - content: "\f21c"; } - -.fa-mound::before { - content: "\e52d"; } - -.fa-mountain::before { - content: "\f6fc"; } - -.fa-mountain-city::before { - content: "\e52e"; } - -.fa-mountain-sun::before { - content: "\e52f"; } - -.fa-mug-hot::before { - content: "\f7b6"; } - -.fa-mug-saucer::before { - content: "\f0f4"; } - -.fa-coffee::before { - content: "\f0f4"; } - -.fa-music::before { - content: "\f001"; } - -.fa-n::before { - content: "\4e"; } - -.fa-naira-sign::before { - content: "\e1f6"; } - -.fa-network-wired::before { - content: "\f6ff"; } - -.fa-neuter::before { - content: "\f22c"; } - -.fa-newspaper::before { - content: "\f1ea"; } - -.fa-not-equal::before { - content: "\f53e"; } - -.fa-note-sticky::before { - content: "\f249"; } - -.fa-sticky-note::before { - content: "\f249"; } - -.fa-notes-medical::before { - content: "\f481"; } - -.fa-o::before { - content: "\4f"; } - -.fa-object-group::before { - content: "\f247"; } - -.fa-object-ungroup::before { - content: "\f248"; } - -.fa-oil-can::before { - content: "\f613"; } - -.fa-oil-well::before { - content: "\e532"; } - -.fa-om::before { - content: "\f679"; } - -.fa-otter::before { - content: "\f700"; } - -.fa-outdent::before { - content: "\f03b"; } - -.fa-dedent::before { - content: "\f03b"; } - -.fa-p::before { - content: "\50"; } - -.fa-pager::before { - content: "\f815"; } - -.fa-paint-roller::before { - content: "\f5aa"; } - -.fa-paintbrush::before { - content: "\f1fc"; } - -.fa-paint-brush::before { - content: "\f1fc"; } - -.fa-palette::before { - content: "\f53f"; } - -.fa-pallet::before { - content: "\f482"; } - -.fa-panorama::before { - content: "\e209"; } - -.fa-paper-plane::before { - content: "\f1d8"; } - -.fa-paperclip::before { - content: "\f0c6"; } - -.fa-parachute-box::before { - content: "\f4cd"; } - -.fa-paragraph::before { - content: "\f1dd"; } - -.fa-passport::before { - content: "\f5ab"; } - -.fa-paste::before { - content: "\f0ea"; } - -.fa-file-clipboard::before { - content: "\f0ea"; } - -.fa-pause::before { - content: "\f04c"; } - -.fa-paw::before { - content: "\f1b0"; } - -.fa-peace::before { - content: "\f67c"; } - -.fa-pen::before { - content: "\f304"; } - -.fa-pen-clip::before { - content: "\f305"; } - -.fa-pen-alt::before { - content: "\f305"; } - -.fa-pen-fancy::before { - content: "\f5ac"; } - -.fa-pen-nib::before { - content: "\f5ad"; } - -.fa-pen-ruler::before { - content: "\f5ae"; } - -.fa-pencil-ruler::before { - content: "\f5ae"; } - -.fa-pen-to-square::before { - content: "\f044"; } - -.fa-edit::before { - content: "\f044"; } - -.fa-pencil::before { - content: "\f303"; } - -.fa-pencil-alt::before { - content: "\f303"; } - -.fa-people-arrows-left-right::before { - content: "\e068"; } - -.fa-people-arrows::before { - content: "\e068"; } - -.fa-people-carry-box::before { - content: "\f4ce"; } - -.fa-people-carry::before { - content: "\f4ce"; } - -.fa-people-group::before { - content: "\e533"; } - -.fa-people-line::before { - content: "\e534"; } - -.fa-people-pulling::before { - content: "\e535"; } - -.fa-people-robbery::before { - content: "\e536"; } - -.fa-people-roof::before { - content: "\e537"; } - -.fa-pepper-hot::before { - content: "\f816"; } - -.fa-percent::before { - content: "\25"; } - -.fa-percentage::before { - content: "\25"; } - -.fa-person::before { - content: "\f183"; } - -.fa-male::before { - content: "\f183"; } - -.fa-person-arrow-down-to-line::before { - content: "\e538"; } - -.fa-person-arrow-up-from-line::before { - content: "\e539"; } - -.fa-person-biking::before { - content: "\f84a"; } - -.fa-biking::before { - content: "\f84a"; } - -.fa-person-booth::before { - content: "\f756"; } - -.fa-person-breastfeeding::before { - content: "\e53a"; } - -.fa-person-burst::before { - content: "\e53b"; } - -.fa-person-cane::before { - content: "\e53c"; } - -.fa-person-chalkboard::before { - content: "\e53d"; } - -.fa-person-circle-check::before { - content: "\e53e"; } - -.fa-person-circle-exclamation::before { - content: "\e53f"; } - -.fa-person-circle-minus::before { - content: "\e540"; } - -.fa-person-circle-plus::before { - content: "\e541"; } - -.fa-person-circle-question::before { - content: "\e542"; } - -.fa-person-circle-xmark::before { - content: "\e543"; } - -.fa-person-digging::before { - content: "\f85e"; } - -.fa-digging::before { - content: "\f85e"; } - -.fa-person-dots-from-line::before { - content: "\f470"; } - -.fa-diagnoses::before { - content: "\f470"; } - -.fa-person-dress::before { - content: "\f182"; } - -.fa-female::before { - content: "\f182"; } - -.fa-person-dress-burst::before { - content: "\e544"; } - -.fa-person-drowning::before { - content: "\e545"; } - -.fa-person-falling::before { - content: "\e546"; } - -.fa-person-falling-burst::before { - content: "\e547"; } - -.fa-person-half-dress::before { - content: "\e548"; } - -.fa-person-harassing::before { - content: "\e549"; } - -.fa-person-hiking::before { - content: "\f6ec"; } - -.fa-hiking::before { - content: "\f6ec"; } - -.fa-person-military-pointing::before { - content: "\e54a"; } - -.fa-person-military-rifle::before { - content: "\e54b"; } - -.fa-person-military-to-person::before { - content: "\e54c"; } - -.fa-person-praying::before { - content: "\f683"; } - -.fa-pray::before { - content: "\f683"; } - -.fa-person-pregnant::before { - content: "\e31e"; } - -.fa-person-rays::before { - content: "\e54d"; } - -.fa-person-rifle::before { - content: "\e54e"; } - -.fa-person-running::before { - content: "\f70c"; } - -.fa-running::before { - content: "\f70c"; } - -.fa-person-shelter::before { - content: "\e54f"; } - -.fa-person-skating::before { - content: "\f7c5"; } - -.fa-skating::before { - content: "\f7c5"; } - -.fa-person-skiing::before { - content: "\f7c9"; } - -.fa-skiing::before { - content: "\f7c9"; } - -.fa-person-skiing-nordic::before { - content: "\f7ca"; } - -.fa-skiing-nordic::before { - content: "\f7ca"; } - -.fa-person-snowboarding::before { - content: "\f7ce"; } - -.fa-snowboarding::before { - content: "\f7ce"; } - -.fa-person-swimming::before { - content: "\f5c4"; } - -.fa-swimmer::before { - content: "\f5c4"; } - -.fa-person-through-window::before { - content: "\e433"; } - -.fa-person-walking::before { - content: "\f554"; } - -.fa-walking::before { - content: "\f554"; } - -.fa-person-walking-arrow-loop-left::before { - content: "\e551"; } - -.fa-person-walking-arrow-right::before { - content: "\e552"; } - -.fa-person-walking-dashed-line-arrow-right::before { - content: "\e553"; } - -.fa-person-walking-luggage::before { - content: "\e554"; } - -.fa-person-walking-with-cane::before { - content: "\f29d"; } - -.fa-blind::before { - content: "\f29d"; } - -.fa-peseta-sign::before { - content: "\e221"; } - -.fa-peso-sign::before { - content: "\e222"; } - -.fa-phone::before { - content: "\f095"; } - -.fa-phone-flip::before { - content: "\f879"; } - -.fa-phone-alt::before { - content: "\f879"; } - -.fa-phone-slash::before { - content: "\f3dd"; } - -.fa-phone-volume::before { - content: "\f2a0"; } - -.fa-volume-control-phone::before { - content: "\f2a0"; } - -.fa-photo-film::before { - content: "\f87c"; } - -.fa-photo-video::before { - content: "\f87c"; } - -.fa-piggy-bank::before { - content: "\f4d3"; } - -.fa-pills::before { - content: "\f484"; } - -.fa-pizza-slice::before { - content: "\f818"; } - -.fa-place-of-worship::before { - content: "\f67f"; } - -.fa-plane::before { - content: "\f072"; } - -.fa-plane-arrival::before { - content: "\f5af"; } - -.fa-plane-circle-check::before { - content: "\e555"; } - -.fa-plane-circle-exclamation::before { - content: "\e556"; } - -.fa-plane-circle-xmark::before { - content: "\e557"; } - -.fa-plane-departure::before { - content: "\f5b0"; } - -.fa-plane-lock::before { - content: "\e558"; } - -.fa-plane-slash::before { - content: "\e069"; } - -.fa-plane-up::before { - content: "\e22d"; } - -.fa-plant-wilt::before { - content: "\e43b"; } - -.fa-plate-wheat::before { - content: "\e55a"; } - -.fa-play::before { - content: "\f04b"; } - -.fa-plug::before { - content: "\f1e6"; } - -.fa-plug-circle-bolt::before { - content: "\e55b"; } - -.fa-plug-circle-check::before { - content: "\e55c"; } - -.fa-plug-circle-exclamation::before { - content: "\e55d"; } - -.fa-plug-circle-minus::before { - content: "\e55e"; } - -.fa-plug-circle-plus::before { - content: "\e55f"; } - -.fa-plug-circle-xmark::before { - content: "\e560"; } - -.fa-plus::before { - content: "\2b"; } - -.fa-add::before { - content: "\2b"; } - -.fa-plus-minus::before { - content: "\e43c"; } - -.fa-podcast::before { - content: "\f2ce"; } - -.fa-poo::before { - content: "\f2fe"; } - -.fa-poo-storm::before { - content: "\f75a"; } - -.fa-poo-bolt::before { - content: "\f75a"; } - -.fa-poop::before { - content: "\f619"; } - -.fa-power-off::before { - content: "\f011"; } - -.fa-prescription::before { - content: "\f5b1"; } - -.fa-prescription-bottle::before { - content: "\f485"; } - -.fa-prescription-bottle-medical::before { - content: "\f486"; } - -.fa-prescription-bottle-alt::before { - content: "\f486"; } - -.fa-print::before { - content: "\f02f"; } - -.fa-pump-medical::before { - content: "\e06a"; } - -.fa-pump-soap::before { - content: "\e06b"; } - -.fa-puzzle-piece::before { - content: "\f12e"; } - -.fa-q::before { - content: "\51"; } - -.fa-qrcode::before { - content: "\f029"; } - -.fa-question::before { - content: "\3f"; } - -.fa-quote-left::before { - content: "\f10d"; } - -.fa-quote-left-alt::before { - content: "\f10d"; } - -.fa-quote-right::before { - content: "\f10e"; } - -.fa-quote-right-alt::before { - content: "\f10e"; } - -.fa-r::before { - content: "\52"; } - -.fa-radiation::before { - content: "\f7b9"; } - -.fa-radio::before { - content: "\f8d7"; } - -.fa-rainbow::before { - content: "\f75b"; } - -.fa-ranking-star::before { - content: "\e561"; } - -.fa-receipt::before { - content: "\f543"; } - -.fa-record-vinyl::before { - content: "\f8d9"; } - -.fa-rectangle-ad::before { - content: "\f641"; } - -.fa-ad::before { - content: "\f641"; } - -.fa-rectangle-list::before { - content: "\f022"; } - -.fa-list-alt::before { - content: "\f022"; } - -.fa-rectangle-xmark::before { - content: "\f410"; } - -.fa-rectangle-times::before { - content: "\f410"; } - -.fa-times-rectangle::before { - content: "\f410"; } - -.fa-window-close::before { - content: "\f410"; } - -.fa-recycle::before { - content: "\f1b8"; } - -.fa-registered::before { - content: "\f25d"; } - -.fa-repeat::before { - content: "\f363"; } - -.fa-reply::before { - content: "\f3e5"; } - -.fa-mail-reply::before { - content: "\f3e5"; } - -.fa-reply-all::before { - content: "\f122"; } - -.fa-mail-reply-all::before { - content: "\f122"; } - -.fa-republican::before { - content: "\f75e"; } - -.fa-restroom::before { - content: "\f7bd"; } - -.fa-retweet::before { - content: "\f079"; } - -.fa-ribbon::before { - content: "\f4d6"; } - -.fa-right-from-bracket::before { - content: "\f2f5"; } - -.fa-sign-out-alt::before { - content: "\f2f5"; } - -.fa-right-left::before { - content: "\f362"; } - -.fa-exchange-alt::before { - content: "\f362"; } - -.fa-right-long::before { - content: "\f30b"; } - -.fa-long-arrow-alt-right::before { - content: "\f30b"; } - -.fa-right-to-bracket::before { - content: "\f2f6"; } - -.fa-sign-in-alt::before { - content: "\f2f6"; } - -.fa-ring::before { - content: "\f70b"; } - -.fa-road::before { - content: "\f018"; } - -.fa-road-barrier::before { - content: "\e562"; } - -.fa-road-bridge::before { - content: "\e563"; } - -.fa-road-circle-check::before { - content: "\e564"; } - -.fa-road-circle-exclamation::before { - content: "\e565"; } - -.fa-road-circle-xmark::before { - content: "\e566"; } - -.fa-road-lock::before { - content: "\e567"; } - -.fa-road-spikes::before { - content: "\e568"; } - -.fa-robot::before { - content: "\f544"; } - -.fa-rocket::before { - content: "\f135"; } - -.fa-rotate::before { - content: "\f2f1"; } - -.fa-sync-alt::before { - content: "\f2f1"; } - -.fa-rotate-left::before { - content: "\f2ea"; } - -.fa-rotate-back::before { - content: "\f2ea"; } - -.fa-rotate-backward::before { - content: "\f2ea"; } - -.fa-undo-alt::before { - content: "\f2ea"; } - -.fa-rotate-right::before { - content: "\f2f9"; } - -.fa-redo-alt::before { - content: "\f2f9"; } - -.fa-rotate-forward::before { - content: "\f2f9"; } - -.fa-route::before { - content: "\f4d7"; } - -.fa-rss::before { - content: "\f09e"; } - -.fa-feed::before { - content: "\f09e"; } - -.fa-ruble-sign::before { - content: "\f158"; } - -.fa-rouble::before { - content: "\f158"; } - -.fa-rub::before { - content: "\f158"; } - -.fa-ruble::before { - content: "\f158"; } - -.fa-rug::before { - content: "\e569"; } - -.fa-ruler::before { - content: "\f545"; } - -.fa-ruler-combined::before { - content: "\f546"; } - -.fa-ruler-horizontal::before { - content: "\f547"; } - -.fa-ruler-vertical::before { - content: "\f548"; } - -.fa-rupee-sign::before { - content: "\f156"; } - -.fa-rupee::before { - content: "\f156"; } - -.fa-rupiah-sign::before { - content: "\e23d"; } - -.fa-s::before { - content: "\53"; } - -.fa-sack-dollar::before { - content: "\f81d"; } - -.fa-sack-xmark::before { - content: "\e56a"; } - -.fa-sailboat::before { - content: "\e445"; } - -.fa-satellite::before { - content: "\f7bf"; } - -.fa-satellite-dish::before { - content: "\f7c0"; } - -.fa-scale-balanced::before { - content: "\f24e"; } - -.fa-balance-scale::before { - content: "\f24e"; } - -.fa-scale-unbalanced::before { - content: "\f515"; } - -.fa-balance-scale-left::before { - content: "\f515"; } - -.fa-scale-unbalanced-flip::before { - content: "\f516"; } - -.fa-balance-scale-right::before { - content: "\f516"; } - -.fa-school::before { - content: "\f549"; } - -.fa-school-circle-check::before { - content: "\e56b"; } - -.fa-school-circle-exclamation::before { - content: "\e56c"; } - -.fa-school-circle-xmark::before { - content: "\e56d"; } - -.fa-school-flag::before { - content: "\e56e"; } - -.fa-school-lock::before { - content: "\e56f"; } - -.fa-scissors::before { - content: "\f0c4"; } - -.fa-cut::before { - content: "\f0c4"; } - -.fa-screwdriver::before { - content: "\f54a"; } - -.fa-screwdriver-wrench::before { - content: "\f7d9"; } - -.fa-tools::before { - content: "\f7d9"; } - -.fa-scroll::before { - content: "\f70e"; } - -.fa-scroll-torah::before { - content: "\f6a0"; } - -.fa-torah::before { - content: "\f6a0"; } - -.fa-sd-card::before { - content: "\f7c2"; } - -.fa-section::before { - content: "\e447"; } - -.fa-seedling::before { - content: "\f4d8"; } - -.fa-sprout::before { - content: "\f4d8"; } - -.fa-server::before { - content: "\f233"; } - -.fa-shapes::before { - content: "\f61f"; } - -.fa-triangle-circle-square::before { - content: "\f61f"; } - -.fa-share::before { - content: "\f064"; } - -.fa-arrow-turn-right::before { - content: "\f064"; } - -.fa-mail-forward::before { - content: "\f064"; } - -.fa-share-from-square::before { - content: "\f14d"; } - -.fa-share-square::before { - content: "\f14d"; } - -.fa-share-nodes::before { - content: "\f1e0"; } - -.fa-share-alt::before { - content: "\f1e0"; } - -.fa-sheet-plastic::before { - content: "\e571"; } - -.fa-shekel-sign::before { - content: "\f20b"; } - -.fa-ils::before { - content: "\f20b"; } - -.fa-shekel::before { - content: "\f20b"; } - -.fa-sheqel::before { - content: "\f20b"; } - -.fa-sheqel-sign::before { - content: "\f20b"; } - -.fa-shield::before { - content: "\f132"; } - -.fa-shield-blank::before { - content: "\f132"; } - -.fa-shield-cat::before { - content: "\e572"; } - -.fa-shield-dog::before { - content: "\e573"; } - -.fa-shield-halved::before { - content: "\f3ed"; } - -.fa-shield-alt::before { - content: "\f3ed"; } - -.fa-shield-heart::before { - content: "\e574"; } - -.fa-shield-virus::before { - content: "\e06c"; } - -.fa-ship::before { - content: "\f21a"; } - -.fa-shirt::before { - content: "\f553"; } - -.fa-t-shirt::before { - content: "\f553"; } - -.fa-tshirt::before { - content: "\f553"; } - -.fa-shoe-prints::before { - content: "\f54b"; } - -.fa-shop::before { - content: "\f54f"; } - -.fa-store-alt::before { - content: "\f54f"; } - -.fa-shop-lock::before { - content: "\e4a5"; } - -.fa-shop-slash::before { - content: "\e070"; } - -.fa-store-alt-slash::before { - content: "\e070"; } - -.fa-shower::before { - content: "\f2cc"; } - -.fa-shrimp::before { - content: "\e448"; } - -.fa-shuffle::before { - content: "\f074"; } - -.fa-random::before { - content: "\f074"; } - -.fa-shuttle-space::before { - content: "\f197"; } - -.fa-space-shuttle::before { - content: "\f197"; } - -.fa-sign-hanging::before { - content: "\f4d9"; } - -.fa-sign::before { - content: "\f4d9"; } - -.fa-signal::before { - content: "\f012"; } - -.fa-signal-5::before { - content: "\f012"; } - -.fa-signal-perfect::before { - content: "\f012"; } - -.fa-signature::before { - content: "\f5b7"; } - -.fa-signs-post::before { - content: "\f277"; } - -.fa-map-signs::before { - content: "\f277"; } - -.fa-sim-card::before { - content: "\f7c4"; } - -.fa-sink::before { - content: "\e06d"; } - -.fa-sitemap::before { - content: "\f0e8"; } - -.fa-skull::before { - content: "\f54c"; } - -.fa-skull-crossbones::before { - content: "\f714"; } - -.fa-slash::before { - content: "\f715"; } - -.fa-sleigh::before { - content: "\f7cc"; } - -.fa-sliders::before { - content: "\f1de"; } - -.fa-sliders-h::before { - content: "\f1de"; } - -.fa-smog::before { - content: "\f75f"; } - -.fa-smoking::before { - content: "\f48d"; } - -.fa-snowflake::before { - content: "\f2dc"; } - -.fa-snowman::before { - content: "\f7d0"; } - -.fa-snowplow::before { - content: "\f7d2"; } - -.fa-soap::before { - content: "\e06e"; } - -.fa-socks::before { - content: "\f696"; } - -.fa-solar-panel::before { - content: "\f5ba"; } - -.fa-sort::before { - content: "\f0dc"; } - -.fa-unsorted::before { - content: "\f0dc"; } - -.fa-sort-down::before { - content: "\f0dd"; } - -.fa-sort-desc::before { - content: "\f0dd"; } - -.fa-sort-up::before { - content: "\f0de"; } - -.fa-sort-asc::before { - content: "\f0de"; } - -.fa-spa::before { - content: "\f5bb"; } - -.fa-spaghetti-monster-flying::before { - content: "\f67b"; } - -.fa-pastafarianism::before { - content: "\f67b"; } - -.fa-spell-check::before { - content: "\f891"; } - -.fa-spider::before { - content: "\f717"; } - -.fa-spinner::before { - content: "\f110"; } - -.fa-splotch::before { - content: "\f5bc"; } - -.fa-spoon::before { - content: "\f2e5"; } - -.fa-utensil-spoon::before { - content: "\f2e5"; } - -.fa-spray-can::before { - content: "\f5bd"; } - -.fa-spray-can-sparkles::before { - content: "\f5d0"; } - -.fa-air-freshener::before { - content: "\f5d0"; } - -.fa-square::before { - content: "\f0c8"; } - -.fa-square-arrow-up-right::before { - content: "\f14c"; } - -.fa-external-link-square::before { - content: "\f14c"; } - -.fa-square-caret-down::before { - content: "\f150"; } - -.fa-caret-square-down::before { - content: "\f150"; } - -.fa-square-caret-left::before { - content: "\f191"; } - -.fa-caret-square-left::before { - content: "\f191"; } - -.fa-square-caret-right::before { - content: "\f152"; } - -.fa-caret-square-right::before { - content: "\f152"; } - -.fa-square-caret-up::before { - content: "\f151"; } - -.fa-caret-square-up::before { - content: "\f151"; } - -.fa-square-check::before { - content: "\f14a"; } - -.fa-check-square::before { - content: "\f14a"; } - -.fa-square-envelope::before { - content: "\f199"; } - -.fa-envelope-square::before { - content: "\f199"; } - -.fa-square-full::before { - content: "\f45c"; } - -.fa-square-h::before { - content: "\f0fd"; } - -.fa-h-square::before { - content: "\f0fd"; } - -.fa-square-minus::before { - content: "\f146"; } - -.fa-minus-square::before { - content: "\f146"; } - -.fa-square-nfi::before { - content: "\e576"; } - -.fa-square-parking::before { - content: "\f540"; } - -.fa-parking::before { - content: "\f540"; } - -.fa-square-pen::before { - content: "\f14b"; } - -.fa-pen-square::before { - content: "\f14b"; } - -.fa-pencil-square::before { - content: "\f14b"; } - -.fa-square-person-confined::before { - content: "\e577"; } - -.fa-square-phone::before { - content: "\f098"; } - -.fa-phone-square::before { - content: "\f098"; } - -.fa-square-phone-flip::before { - content: "\f87b"; } - -.fa-phone-square-alt::before { - content: "\f87b"; } - -.fa-square-plus::before { - content: "\f0fe"; } - -.fa-plus-square::before { - content: "\f0fe"; } - -.fa-square-poll-horizontal::before { - content: "\f682"; } - -.fa-poll-h::before { - content: "\f682"; } - -.fa-square-poll-vertical::before { - content: "\f681"; } - -.fa-poll::before { - content: "\f681"; } - -.fa-square-root-variable::before { - content: "\f698"; } - -.fa-square-root-alt::before { - content: "\f698"; } - -.fa-square-rss::before { - content: "\f143"; } - -.fa-rss-square::before { - content: "\f143"; } - -.fa-square-share-nodes::before { - content: "\f1e1"; } - -.fa-share-alt-square::before { - content: "\f1e1"; } - -.fa-square-up-right::before { - content: "\f360"; } - -.fa-external-link-square-alt::before { - content: "\f360"; } - -.fa-square-virus::before { - content: "\e578"; } - -.fa-square-xmark::before { - content: "\f2d3"; } - -.fa-times-square::before { - content: "\f2d3"; } - -.fa-xmark-square::before { - content: "\f2d3"; } - -.fa-staff-aesculapius::before { - content: "\e579"; } - -.fa-rod-asclepius::before { - content: "\e579"; } - -.fa-rod-snake::before { - content: "\e579"; } - -.fa-staff-snake::before { - content: "\e579"; } - -.fa-stairs::before { - content: "\e289"; } - -.fa-stamp::before { - content: "\f5bf"; } - -.fa-star::before { - content: "\f005"; } - -.fa-star-and-crescent::before { - content: "\f699"; } - -.fa-star-half::before { - content: "\f089"; } - -.fa-star-half-stroke::before { - content: "\f5c0"; } - -.fa-star-half-alt::before { - content: "\f5c0"; } - -.fa-star-of-david::before { - content: "\f69a"; } - -.fa-star-of-life::before { - content: "\f621"; } - -.fa-sterling-sign::before { - content: "\f154"; } - -.fa-gbp::before { - content: "\f154"; } - -.fa-pound-sign::before { - content: "\f154"; } - -.fa-stethoscope::before { - content: "\f0f1"; } - -.fa-stop::before { - content: "\f04d"; } - -.fa-stopwatch::before { - content: "\f2f2"; } - -.fa-stopwatch-20::before { - content: "\e06f"; } - -.fa-store::before { - content: "\f54e"; } - -.fa-store-slash::before { - content: "\e071"; } - -.fa-street-view::before { - content: "\f21d"; } - -.fa-strikethrough::before { - content: "\f0cc"; } - -.fa-stroopwafel::before { - content: "\f551"; } - -.fa-subscript::before { - content: "\f12c"; } - -.fa-suitcase::before { - content: "\f0f2"; } - -.fa-suitcase-medical::before { - content: "\f0fa"; } - -.fa-medkit::before { - content: "\f0fa"; } - -.fa-suitcase-rolling::before { - content: "\f5c1"; } - -.fa-sun::before { - content: "\f185"; } - -.fa-sun-plant-wilt::before { - content: "\e57a"; } - -.fa-superscript::before { - content: "\f12b"; } - -.fa-swatchbook::before { - content: "\f5c3"; } - -.fa-synagogue::before { - content: "\f69b"; } - -.fa-syringe::before { - content: "\f48e"; } - -.fa-t::before { - content: "\54"; } - -.fa-table::before { - content: "\f0ce"; } - -.fa-table-cells::before { - content: "\f00a"; } - -.fa-th::before { - content: "\f00a"; } - -.fa-table-cells-large::before { - content: "\f009"; } - -.fa-th-large::before { - content: "\f009"; } - -.fa-table-columns::before { - content: "\f0db"; } - -.fa-columns::before { - content: "\f0db"; } - -.fa-table-list::before { - content: "\f00b"; } - -.fa-th-list::before { - content: "\f00b"; } - -.fa-table-tennis-paddle-ball::before { - content: "\f45d"; } - -.fa-ping-pong-paddle-ball::before { - content: "\f45d"; } - -.fa-table-tennis::before { - content: "\f45d"; } - -.fa-tablet::before { - content: "\f3fb"; } - -.fa-tablet-android::before { - content: "\f3fb"; } - -.fa-tablet-button::before { - content: "\f10a"; } - -.fa-tablet-screen-button::before { - content: "\f3fa"; } - -.fa-tablet-alt::before { - content: "\f3fa"; } - -.fa-tablets::before { - content: "\f490"; } - -.fa-tachograph-digital::before { - content: "\f566"; } - -.fa-digital-tachograph::before { - content: "\f566"; } - -.fa-tag::before { - content: "\f02b"; } - -.fa-tags::before { - content: "\f02c"; } - -.fa-tape::before { - content: "\f4db"; } - -.fa-tarp::before { - content: "\e57b"; } - -.fa-tarp-droplet::before { - content: "\e57c"; } - -.fa-taxi::before { - content: "\f1ba"; } - -.fa-cab::before { - content: "\f1ba"; } - -.fa-teeth::before { - content: "\f62e"; } - -.fa-teeth-open::before { - content: "\f62f"; } - -.fa-temperature-arrow-down::before { - content: "\e03f"; } - -.fa-temperature-down::before { - content: "\e03f"; } - -.fa-temperature-arrow-up::before { - content: "\e040"; } - -.fa-temperature-up::before { - content: "\e040"; } - -.fa-temperature-empty::before { - content: "\f2cb"; } - -.fa-temperature-0::before { - content: "\f2cb"; } - -.fa-thermometer-0::before { - content: "\f2cb"; } - -.fa-thermometer-empty::before { - content: "\f2cb"; } - -.fa-temperature-full::before { - content: "\f2c7"; } - -.fa-temperature-4::before { - content: "\f2c7"; } - -.fa-thermometer-4::before { - content: "\f2c7"; } - -.fa-thermometer-full::before { - content: "\f2c7"; } - -.fa-temperature-half::before { - content: "\f2c9"; } - -.fa-temperature-2::before { - content: "\f2c9"; } - -.fa-thermometer-2::before { - content: "\f2c9"; } - -.fa-thermometer-half::before { - content: "\f2c9"; } - -.fa-temperature-high::before { - content: "\f769"; } - -.fa-temperature-low::before { - content: "\f76b"; } - -.fa-temperature-quarter::before { - content: "\f2ca"; } - -.fa-temperature-1::before { - content: "\f2ca"; } - -.fa-thermometer-1::before { - content: "\f2ca"; } - -.fa-thermometer-quarter::before { - content: "\f2ca"; } - -.fa-temperature-three-quarters::before { - content: "\f2c8"; } - -.fa-temperature-3::before { - content: "\f2c8"; } - -.fa-thermometer-3::before { - content: "\f2c8"; } - -.fa-thermometer-three-quarters::before { - content: "\f2c8"; } - -.fa-tenge-sign::before { - content: "\f7d7"; } - -.fa-tenge::before { - content: "\f7d7"; } - -.fa-tent::before { - content: "\e57d"; } - -.fa-tent-arrow-down-to-line::before { - content: "\e57e"; } - -.fa-tent-arrow-left-right::before { - content: "\e57f"; } - -.fa-tent-arrow-turn-left::before { - content: "\e580"; } - -.fa-tent-arrows-down::before { - content: "\e581"; } - -.fa-tents::before { - content: "\e582"; } - -.fa-terminal::before { - content: "\f120"; } - -.fa-text-height::before { - content: "\f034"; } - -.fa-text-slash::before { - content: "\f87d"; } - -.fa-remove-format::before { - content: "\f87d"; } - -.fa-text-width::before { - content: "\f035"; } - -.fa-thermometer::before { - content: "\f491"; } - -.fa-thumbs-down::before { - content: "\f165"; } - -.fa-thumbs-up::before { - content: "\f164"; } - -.fa-thumbtack::before { - content: "\f08d"; } - -.fa-thumb-tack::before { - content: "\f08d"; } - -.fa-ticket::before { - content: "\f145"; } - -.fa-ticket-simple::before { - content: "\f3ff"; } - -.fa-ticket-alt::before { - content: "\f3ff"; } - -.fa-timeline::before { - content: "\e29c"; } - -.fa-toggle-off::before { - content: "\f204"; } - -.fa-toggle-on::before { - content: "\f205"; } - -.fa-toilet::before { - content: "\f7d8"; } - -.fa-toilet-paper::before { - content: "\f71e"; } - -.fa-toilet-paper-slash::before { - content: "\e072"; } - -.fa-toilet-portable::before { - content: "\e583"; } - -.fa-toilets-portable::before { - content: "\e584"; } - -.fa-toolbox::before { - content: "\f552"; } - -.fa-tooth::before { - content: "\f5c9"; } - -.fa-torii-gate::before { - content: "\f6a1"; } - -.fa-tornado::before { - content: "\f76f"; } - -.fa-tower-broadcast::before { - content: "\f519"; } - -.fa-broadcast-tower::before { - content: "\f519"; } - -.fa-tower-cell::before { - content: "\e585"; } - -.fa-tower-observation::before { - content: "\e586"; } - -.fa-tractor::before { - content: "\f722"; } - -.fa-trademark::before { - content: "\f25c"; } - -.fa-traffic-light::before { - content: "\f637"; } - -.fa-trailer::before { - content: "\e041"; } - -.fa-train::before { - content: "\f238"; } - -.fa-train-subway::before { - content: "\f239"; } - -.fa-subway::before { - content: "\f239"; } - -.fa-train-tram::before { - content: "\f7da"; } - -.fa-tram::before { - content: "\f7da"; } - -.fa-transgender::before { - content: "\f225"; } - -.fa-transgender-alt::before { - content: "\f225"; } - -.fa-trash::before { - content: "\f1f8"; } - -.fa-trash-arrow-up::before { - content: "\f829"; } - -.fa-trash-restore::before { - content: "\f829"; } - -.fa-trash-can::before { - content: "\f2ed"; } - -.fa-trash-alt::before { - content: "\f2ed"; } - -.fa-trash-can-arrow-up::before { - content: "\f82a"; } - -.fa-trash-restore-alt::before { - content: "\f82a"; } - -.fa-tree::before { - content: "\f1bb"; } - -.fa-tree-city::before { - content: "\e587"; } - -.fa-triangle-exclamation::before { - content: "\f071"; } - -.fa-exclamation-triangle::before { - content: "\f071"; } - -.fa-warning::before { - content: "\f071"; } - -.fa-trophy::before { - content: "\f091"; } - -.fa-trowel::before { - content: "\e589"; } - -.fa-trowel-bricks::before { - content: "\e58a"; } - -.fa-truck::before { - content: "\f0d1"; } - -.fa-truck-arrow-right::before { - content: "\e58b"; } - -.fa-truck-droplet::before { - content: "\e58c"; } - -.fa-truck-fast::before { - content: "\f48b"; } - -.fa-shipping-fast::before { - content: "\f48b"; } - -.fa-truck-field::before { - content: "\e58d"; } - -.fa-truck-field-un::before { - content: "\e58e"; } - -.fa-truck-front::before { - content: "\e2b7"; } - -.fa-truck-medical::before { - content: "\f0f9"; } - -.fa-ambulance::before { - content: "\f0f9"; } - -.fa-truck-monster::before { - content: "\f63b"; } - -.fa-truck-moving::before { - content: "\f4df"; } - -.fa-truck-pickup::before { - content: "\f63c"; } - -.fa-truck-plane::before { - content: "\e58f"; } - -.fa-truck-ramp-box::before { - content: "\f4de"; } - -.fa-truck-loading::before { - content: "\f4de"; } - -.fa-tty::before { - content: "\f1e4"; } - -.fa-teletype::before { - content: "\f1e4"; } - -.fa-turkish-lira-sign::before { - content: "\e2bb"; } - -.fa-try::before { - content: "\e2bb"; } - -.fa-turkish-lira::before { - content: "\e2bb"; } - -.fa-turn-down::before { - content: "\f3be"; } - -.fa-level-down-alt::before { - content: "\f3be"; } - -.fa-turn-up::before { - content: "\f3bf"; } - -.fa-level-up-alt::before { - content: "\f3bf"; } - -.fa-tv::before { - content: "\f26c"; } - -.fa-television::before { - content: "\f26c"; } - -.fa-tv-alt::before { - content: "\f26c"; } - -.fa-u::before { - content: "\55"; } - -.fa-umbrella::before { - content: "\f0e9"; } - -.fa-umbrella-beach::before { - content: "\f5ca"; } - -.fa-underline::before { - content: "\f0cd"; } - -.fa-universal-access::before { - content: "\f29a"; } - -.fa-unlock::before { - content: "\f09c"; } - -.fa-unlock-keyhole::before { - content: "\f13e"; } - -.fa-unlock-alt::before { - content: "\f13e"; } - -.fa-up-down::before { - content: "\f338"; } - -.fa-arrows-alt-v::before { - content: "\f338"; } - -.fa-up-down-left-right::before { - content: "\f0b2"; } - -.fa-arrows-alt::before { - content: "\f0b2"; } - -.fa-up-long::before { - content: "\f30c"; } - -.fa-long-arrow-alt-up::before { - content: "\f30c"; } - -.fa-up-right-and-down-left-from-center::before { - content: "\f424"; } - -.fa-expand-alt::before { - content: "\f424"; } - -.fa-up-right-from-square::before { - content: "\f35d"; } - -.fa-external-link-alt::before { - content: "\f35d"; } - -.fa-upload::before { - content: "\f093"; } - -.fa-user::before { - content: "\f007"; } - -.fa-user-astronaut::before { - content: "\f4fb"; } - -.fa-user-check::before { - content: "\f4fc"; } - -.fa-user-clock::before { - content: "\f4fd"; } - -.fa-user-doctor::before { - content: "\f0f0"; } - -.fa-user-md::before { - content: "\f0f0"; } - -.fa-user-gear::before { - content: "\f4fe"; } - -.fa-user-cog::before { - content: "\f4fe"; } - -.fa-user-graduate::before { - content: "\f501"; } - -.fa-user-group::before { - content: "\f500"; } - -.fa-user-friends::before { - content: "\f500"; } - -.fa-user-injured::before { - content: "\f728"; } - -.fa-user-large::before { - content: "\f406"; } - -.fa-user-alt::before { - content: "\f406"; } - -.fa-user-large-slash::before { - content: "\f4fa"; } - -.fa-user-alt-slash::before { - content: "\f4fa"; } - -.fa-user-lock::before { - content: "\f502"; } - -.fa-user-minus::before { - content: "\f503"; } - -.fa-user-ninja::before { - content: "\f504"; } - -.fa-user-nurse::before { - content: "\f82f"; } - -.fa-user-pen::before { - content: "\f4ff"; } - -.fa-user-edit::before { - content: "\f4ff"; } - -.fa-user-plus::before { - content: "\f234"; } - -.fa-user-secret::before { - content: "\f21b"; } - -.fa-user-shield::before { - content: "\f505"; } - -.fa-user-slash::before { - content: "\f506"; } - -.fa-user-tag::before { - content: "\f507"; } - -.fa-user-tie::before { - content: "\f508"; } - -.fa-user-xmark::before { - content: "\f235"; } - -.fa-user-times::before { - content: "\f235"; } - -.fa-users::before { - content: "\f0c0"; } - -.fa-users-between-lines::before { - content: "\e591"; } - -.fa-users-gear::before { - content: "\f509"; } - -.fa-users-cog::before { - content: "\f509"; } - -.fa-users-line::before { - content: "\e592"; } - -.fa-users-rays::before { - content: "\e593"; } - -.fa-users-rectangle::before { - content: "\e594"; } - -.fa-users-slash::before { - content: "\e073"; } - -.fa-users-viewfinder::before { - content: "\e595"; } - -.fa-utensils::before { - content: "\f2e7"; } - -.fa-cutlery::before { - content: "\f2e7"; } - -.fa-v::before { - content: "\56"; } - -.fa-van-shuttle::before { - content: "\f5b6"; } - -.fa-shuttle-van::before { - content: "\f5b6"; } - -.fa-vault::before { - content: "\e2c5"; } - -.fa-vector-square::before { - content: "\f5cb"; } - -.fa-venus::before { - content: "\f221"; } - -.fa-venus-double::before { - content: "\f226"; } - -.fa-venus-mars::before { - content: "\f228"; } - -.fa-vest::before { - content: "\e085"; } - -.fa-vest-patches::before { - content: "\e086"; } - -.fa-vial::before { - content: "\f492"; } - -.fa-vial-circle-check::before { - content: "\e596"; } - -.fa-vial-virus::before { - content: "\e597"; } - -.fa-vials::before { - content: "\f493"; } - -.fa-video::before { - content: "\f03d"; } - -.fa-video-camera::before { - content: "\f03d"; } - -.fa-video-slash::before { - content: "\f4e2"; } - -.fa-vihara::before { - content: "\f6a7"; } - -.fa-virus::before { - content: "\e074"; } - -.fa-virus-covid::before { - content: "\e4a8"; } - -.fa-virus-covid-slash::before { - content: "\e4a9"; } - -.fa-virus-slash::before { - content: "\e075"; } - -.fa-viruses::before { - content: "\e076"; } - -.fa-voicemail::before { - content: "\f897"; } - -.fa-volcano::before { - content: "\f770"; } - -.fa-volleyball::before { - content: "\f45f"; } - -.fa-volleyball-ball::before { - content: "\f45f"; } - -.fa-volume-high::before { - content: "\f028"; } - -.fa-volume-up::before { - content: "\f028"; } - -.fa-volume-low::before { - content: "\f027"; } - -.fa-volume-down::before { - content: "\f027"; } - -.fa-volume-off::before { - content: "\f026"; } - -.fa-volume-xmark::before { - content: "\f6a9"; } - -.fa-volume-mute::before { - content: "\f6a9"; } - -.fa-volume-times::before { - content: "\f6a9"; } - -.fa-vr-cardboard::before { - content: "\f729"; } - -.fa-w::before { - content: "\57"; } - -.fa-walkie-talkie::before { - content: "\f8ef"; } - -.fa-wallet::before { - content: "\f555"; } - -.fa-wand-magic::before { - content: "\f0d0"; } - -.fa-magic::before { - content: "\f0d0"; } - -.fa-wand-magic-sparkles::before { - content: "\e2ca"; } - -.fa-magic-wand-sparkles::before { - content: "\e2ca"; } - -.fa-wand-sparkles::before { - content: "\f72b"; } - -.fa-warehouse::before { - content: "\f494"; } - -.fa-water::before { - content: "\f773"; } - -.fa-water-ladder::before { - content: "\f5c5"; } - -.fa-ladder-water::before { - content: "\f5c5"; } - -.fa-swimming-pool::before { - content: "\f5c5"; } - -.fa-wave-square::before { - content: "\f83e"; } - -.fa-weight-hanging::before { - content: "\f5cd"; } - -.fa-weight-scale::before { - content: "\f496"; } - -.fa-weight::before { - content: "\f496"; } - -.fa-wheat-awn::before { - content: "\e2cd"; } - -.fa-wheat-alt::before { - content: "\e2cd"; } - -.fa-wheat-awn-circle-exclamation::before { - content: "\e598"; } - -.fa-wheelchair::before { - content: "\f193"; } - -.fa-wheelchair-move::before { - content: "\e2ce"; } - -.fa-wheelchair-alt::before { - content: "\e2ce"; } - -.fa-whiskey-glass::before { - content: "\f7a0"; } - -.fa-glass-whiskey::before { - content: "\f7a0"; } - -.fa-wifi::before { - content: "\f1eb"; } - -.fa-wifi-3::before { - content: "\f1eb"; } - -.fa-wifi-strong::before { - content: "\f1eb"; } - -.fa-wind::before { - content: "\f72e"; } - -.fa-window-maximize::before { - content: "\f2d0"; } - -.fa-window-minimize::before { - content: "\f2d1"; } - -.fa-window-restore::before { - content: "\f2d2"; } - -.fa-wine-bottle::before { - content: "\f72f"; } - -.fa-wine-glass::before { - content: "\f4e3"; } - -.fa-wine-glass-empty::before { - content: "\f5ce"; } - -.fa-wine-glass-alt::before { - content: "\f5ce"; } - -.fa-won-sign::before { - content: "\f159"; } - -.fa-krw::before { - content: "\f159"; } - -.fa-won::before { - content: "\f159"; } - -.fa-worm::before { - content: "\e599"; } - -.fa-wrench::before { - content: "\f0ad"; } - -.fa-x::before { - content: "\58"; } - -.fa-x-ray::before { - content: "\f497"; } - -.fa-xmark::before { - content: "\f00d"; } - -.fa-close::before { - content: "\f00d"; } - -.fa-multiply::before { - content: "\f00d"; } - -.fa-remove::before { - content: "\f00d"; } - -.fa-times::before { - content: "\f00d"; } - -.fa-xmarks-lines::before { - content: "\e59a"; } - -.fa-y::before { - content: "\59"; } - -.fa-yen-sign::before { - content: "\f157"; } - -.fa-cny::before { - content: "\f157"; } - -.fa-jpy::before { - content: "\f157"; } - -.fa-rmb::before { - content: "\f157"; } - -.fa-yen::before { - content: "\f157"; } - -.fa-yin-yang::before { - content: "\f6ad"; } - -.fa-z::before { - content: "\5a"; } - -.sr-only, -.fa-sr-only { - position: absolute; - width: 1px; - height: 1px; - padding: 0; - margin: -1px; - overflow: hidden; - clip: rect(0, 0, 0, 0); - white-space: nowrap; - border-width: 0; } - -.sr-only-focusable:not(:focus), -.fa-sr-only-focusable:not(:focus) { - position: absolute; - width: 1px; - height: 1px; - padding: 0; - margin: -1px; - overflow: hidden; - clip: rect(0, 0, 0, 0); - white-space: nowrap; - border-width: 0; } -:root, :host { - --fa-font-brands: normal 400 1em/1 "Font Awesome 6 Brands"; } - -@font-face { - font-family: 'Font Awesome 6 Brands'; - font-style: normal; - font-weight: 400; - font-display: block; - src: url("1e21o67/fa-brands-400.woff2") format("woff2"), url("1e21o67/fa-brands-400.ttf") format("truetype"); } - -.fab, -.fa-brands { - font-family: 'Font Awesome 6 Brands'; - font-weight: 400; } - -.fa-42-group:before { - content: "\e080"; } - -.fa-innosoft:before { - content: "\e080"; } - -.fa-500px:before { - content: "\f26e"; } - -.fa-accessible-icon:before { - content: "\f368"; } - -.fa-accusoft:before { - content: "\f369"; } - -.fa-adn:before { - content: "\f170"; } - -.fa-adversal:before { - content: "\f36a"; } - -.fa-affiliatetheme:before { - content: "\f36b"; } - -.fa-airbnb:before { - content: "\f834"; } - -.fa-algolia:before { - content: "\f36c"; } - -.fa-alipay:before { - content: "\f642"; } - -.fa-amazon:before { - content: "\f270"; } - -.fa-amazon-pay:before { - content: "\f42c"; } - -.fa-amilia:before { - content: "\f36d"; } - -.fa-android:before { - content: "\f17b"; } - -.fa-angellist:before { - content: "\f209"; } - -.fa-angrycreative:before { - content: "\f36e"; } - -.fa-angular:before { - content: "\f420"; } - -.fa-app-store:before { - content: "\f36f"; } - -.fa-app-store-ios:before { - content: "\f370"; } - -.fa-apper:before { - content: "\f371"; } - -.fa-apple:before { - content: "\f179"; } - -.fa-apple-pay:before { - content: "\f415"; } - -.fa-artstation:before { - content: "\f77a"; } - -.fa-asymmetrik:before { - content: "\f372"; } - -.fa-atlassian:before { - content: "\f77b"; } - -.fa-audible:before { - content: "\f373"; } - -.fa-autoprefixer:before { - content: "\f41c"; } - -.fa-avianex:before { - content: "\f374"; } - -.fa-aviato:before { - content: "\f421"; } - -.fa-aws:before { - content: "\f375"; } - -.fa-bandcamp:before { - content: "\f2d5"; } - -.fa-battle-net:before { - content: "\f835"; } - -.fa-behance:before { - content: "\f1b4"; } - -.fa-behance-square:before { - content: "\f1b5"; } - -.fa-bilibili:before { - content: "\e3d9"; } - -.fa-bimobject:before { - content: "\f378"; } - -.fa-bitbucket:before { - content: "\f171"; } - -.fa-bitcoin:before { - content: "\f379"; } - -.fa-bity:before { - content: "\f37a"; } - -.fa-black-tie:before { - content: "\f27e"; } - -.fa-blackberry:before { - content: "\f37b"; } - -.fa-blogger:before { - content: "\f37c"; } - -.fa-blogger-b:before { - content: "\f37d"; } - -.fa-bluetooth:before { - content: "\f293"; } - -.fa-bluetooth-b:before { - content: "\f294"; } - -.fa-bootstrap:before { - content: "\f836"; } - -.fa-bots:before { - content: "\e340"; } - -.fa-btc:before { - content: "\f15a"; } - -.fa-buffer:before { - content: "\f837"; } - -.fa-buromobelexperte:before { - content: "\f37f"; } - -.fa-buy-n-large:before { - content: "\f8a6"; } - -.fa-buysellads:before { - content: "\f20d"; } - -.fa-canadian-maple-leaf:before { - content: "\f785"; } - -.fa-cc-amazon-pay:before { - content: "\f42d"; } - -.fa-cc-amex:before { - content: "\f1f3"; } - -.fa-cc-apple-pay:before { - content: "\f416"; } - -.fa-cc-diners-club:before { - content: "\f24c"; } - -.fa-cc-discover:before { - content: "\f1f2"; } - -.fa-cc-jcb:before { - content: "\f24b"; } - -.fa-cc-mastercard:before { - content: "\f1f1"; } - -.fa-cc-paypal:before { - content: "\f1f4"; } - -.fa-cc-stripe:before { - content: "\f1f5"; } - -.fa-cc-visa:before { - content: "\f1f0"; } - -.fa-centercode:before { - content: "\f380"; } - -.fa-centos:before { - content: "\f789"; } - -.fa-chrome:before { - content: "\f268"; } - -.fa-chromecast:before { - content: "\f838"; } - -.fa-cloudflare:before { - content: "\e07d"; } - -.fa-cloudscale:before { - content: "\f383"; } - -.fa-cloudsmith:before { - content: "\f384"; } - -.fa-cloudversify:before { - content: "\f385"; } - -.fa-cmplid:before { - content: "\e360"; } - -.fa-codepen:before { - content: "\f1cb"; } - -.fa-codiepie:before { - content: "\f284"; } - -.fa-confluence:before { - content: "\f78d"; } - -.fa-connectdevelop:before { - content: "\f20e"; } - -.fa-contao:before { - content: "\f26d"; } - -.fa-cotton-bureau:before { - content: "\f89e"; } - -.fa-cpanel:before { - content: "\f388"; } - -.fa-creative-commons:before { - content: "\f25e"; } - -.fa-creative-commons-by:before { - content: "\f4e7"; } - -.fa-creative-commons-nc:before { - content: "\f4e8"; } - -.fa-creative-commons-nc-eu:before { - content: "\f4e9"; } - -.fa-creative-commons-nc-jp:before { - content: "\f4ea"; } - -.fa-creative-commons-nd:before { - content: "\f4eb"; } - -.fa-creative-commons-pd:before { - content: "\f4ec"; } - -.fa-creative-commons-pd-alt:before { - content: "\f4ed"; } - -.fa-creative-commons-remix:before { - content: "\f4ee"; } - -.fa-creative-commons-sa:before { - content: "\f4ef"; } - -.fa-creative-commons-sampling:before { - content: "\f4f0"; } - -.fa-creative-commons-sampling-plus:before { - content: "\f4f1"; } - -.fa-creative-commons-share:before { - content: "\f4f2"; } - -.fa-creative-commons-zero:before { - content: "\f4f3"; } - -.fa-critical-role:before { - content: "\f6c9"; } - -.fa-css3:before { - content: "\f13c"; } - -.fa-css3-alt:before { - content: "\f38b"; } - -.fa-cuttlefish:before { - content: "\f38c"; } - -.fa-d-and-d:before { - content: "\f38d"; } - -.fa-d-and-d-beyond:before { - content: "\f6ca"; } - -.fa-dailymotion:before { - content: "\e052"; } - -.fa-dashcube:before { - content: "\f210"; } - -.fa-deezer:before { - content: "\e077"; } - -.fa-delicious:before { - content: "\f1a5"; } - -.fa-deploydog:before { - content: "\f38e"; } - -.fa-deskpro:before { - content: "\f38f"; } - -.fa-dev:before { - content: "\f6cc"; } - -.fa-deviantart:before { - content: "\f1bd"; } - -.fa-dhl:before { - content: "\f790"; } - -.fa-diaspora:before { - content: "\f791"; } - -.fa-digg:before { - content: "\f1a6"; } - -.fa-digital-ocean:before { - content: "\f391"; } - -.fa-discord:before { - content: "\f392"; } - -.fa-discourse:before { - content: "\f393"; } - -.fa-dochub:before { - content: "\f394"; } - -.fa-docker:before { - content: "\f395"; } - -.fa-draft2digital:before { - content: "\f396"; } - -.fa-dribbble:before { - content: "\f17d"; } - -.fa-dribbble-square:before { - content: "\f397"; } - -.fa-dropbox:before { - content: "\f16b"; } - -.fa-drupal:before { - content: "\f1a9"; } - -.fa-dyalog:before { - content: "\f399"; } - -.fa-earlybirds:before { - content: "\f39a"; } - -.fa-ebay:before { - content: "\f4f4"; } - -.fa-edge:before { - content: "\f282"; } - -.fa-edge-legacy:before { - content: "\e078"; } - -.fa-elementor:before { - content: "\f430"; } - -.fa-ello:before { - content: "\f5f1"; } - -.fa-ember:before { - content: "\f423"; } - -.fa-empire:before { - content: "\f1d1"; } - -.fa-envira:before { - content: "\f299"; } - -.fa-erlang:before { - content: "\f39d"; } - -.fa-ethereum:before { - content: "\f42e"; } - -.fa-etsy:before { - content: "\f2d7"; } - -.fa-evernote:before { - content: "\f839"; } - -.fa-expeditedssl:before { - content: "\f23e"; } - -.fa-facebook:before { - content: "\f09a"; } - -.fa-facebook-f:before { - content: "\f39e"; } - -.fa-facebook-messenger:before { - content: "\f39f"; } - -.fa-facebook-square:before { - content: "\f082"; } - -.fa-fantasy-flight-games:before { - content: "\f6dc"; } - -.fa-fedex:before { - content: "\f797"; } - -.fa-fedora:before { - content: "\f798"; } - -.fa-figma:before { - content: "\f799"; } - -.fa-firefox:before { - content: "\f269"; } - -.fa-firefox-browser:before { - content: "\e007"; } - -.fa-first-order:before { - content: "\f2b0"; } - -.fa-first-order-alt:before { - content: "\f50a"; } - -.fa-firstdraft:before { - content: "\f3a1"; } - -.fa-flickr:before { - content: "\f16e"; } - -.fa-flipboard:before { - content: "\f44d"; } - -.fa-fly:before { - content: "\f417"; } - -.fa-font-awesome:before { - content: "\f2b4"; } - -.fa-font-awesome-flag:before { - content: "\f2b4"; } - -.fa-font-awesome-logo-full:before { - content: "\f2b4"; } - -.fa-fonticons:before { - content: "\f280"; } - -.fa-fonticons-fi:before { - content: "\f3a2"; } - -.fa-fort-awesome:before { - content: "\f286"; } - -.fa-fort-awesome-alt:before { - content: "\f3a3"; } - -.fa-forumbee:before { - content: "\f211"; } - -.fa-foursquare:before { - content: "\f180"; } - -.fa-free-code-camp:before { - content: "\f2c5"; } - -.fa-freebsd:before { - content: "\f3a4"; } - -.fa-fulcrum:before { - content: "\f50b"; } - -.fa-galactic-republic:before { - content: "\f50c"; } - -.fa-galactic-senate:before { - content: "\f50d"; } - -.fa-get-pocket:before { - content: "\f265"; } - -.fa-gg:before { - content: "\f260"; } - -.fa-gg-circle:before { - content: "\f261"; } - -.fa-git:before { - content: "\f1d3"; } - -.fa-git-alt:before { - content: "\f841"; } - -.fa-git-square:before { - content: "\f1d2"; } - -.fa-github:before { - content: "\f09b"; } - -.fa-github-alt:before { - content: "\f113"; } - -.fa-github-square:before { - content: "\f092"; } - -.fa-gitkraken:before { - content: "\f3a6"; } - -.fa-gitlab:before { - content: "\f296"; } - -.fa-gitter:before { - content: "\f426"; } - -.fa-glide:before { - content: "\f2a5"; } - -.fa-glide-g:before { - content: "\f2a6"; } - -.fa-gofore:before { - content: "\f3a7"; } - -.fa-golang:before { - content: "\e40f"; } - -.fa-goodreads:before { - content: "\f3a8"; } - -.fa-goodreads-g:before { - content: "\f3a9"; } - -.fa-google:before { - content: "\f1a0"; } - -.fa-google-drive:before { - content: "\f3aa"; } - -.fa-google-pay:before { - content: "\e079"; } - -.fa-google-play:before { - content: "\f3ab"; } - -.fa-google-plus:before { - content: "\f2b3"; } - -.fa-google-plus-g:before { - content: "\f0d5"; } - 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t=e.state,n=e.name,r=t.rects.reference,o=t.rects.popper,i=t.modifiersData.preventOverflow,a=Y(t,{elementContext:"reference"}),s=Y(t,{altBoundary:!0}),f=he(a,r),c=he(s,o,i),p=me(f),u=me(c);t.modifiersData[n]={referenceClippingOffsets:f,popperEscapeOffsets:c,isReferenceHidden:p,hasPopperEscaped:u},t.attributes.popper=Object.assign({},t.attributes.popper,{"data-popper-reference-hidden":p,"data-popper-escaped":u})}},ge=K({defaultModifiers:[Z,$,ne,re]}),ye=[Z,$,ne,re,oe,pe,le,de,ve],be=K({defaultModifiers:ye});e.applyStyles=re,e.arrow=de,e.computeStyles=ne,e.createPopper=be,e.createPopperLite=ge,e.defaultModifiers=ye,e.detectOverflow=Y,e.eventListeners=Z,e.flip=pe,e.hide=ve,e.offset=oe,e.popperGenerator=K,e.popperOffsets=$,e.preventOverflow=le,Object.defineProperty(e,"__esModule",{value:!0})})); - diff --git a/_site_rendered/site_libs/quarto-html/quarto-syntax-highlighting-dark.css b/_site_rendered/site_libs/quarto-html/quarto-syntax-highlighting-dark.css deleted file mode 100644 index 6220221..0000000 --- a/_site_rendered/site_libs/quarto-html/quarto-syntax-highlighting-dark.css +++ /dev/null @@ -1,180 +0,0 @@ -/* quarto syntax highlight colors */ -:root { - --quarto-hl-al-color: #ff5555; - --quarto-hl-an-color: #75715e; - --quarto-hl-at-color: #f92672; - --quarto-hl-bn-color: #ae81ff; - --quarto-hl-bu-color: #66D9EF; - --quarto-hl-ch-color: #e6db74; - --quarto-hl-co-color: #75715e; - --quarto-hl-cv-color: #75715e; - --quarto-hl-cn-color: #ae81ff; - --quarto-hl-cf-color: #f92672; - --quarto-hl-dt-color: #66d9ef; - --quarto-hl-dv-color: #ae81ff; - --quarto-hl-do-color: #75715e; - --quarto-hl-er-color: #ff5555; - --quarto-hl-ex-color: #a6e22e; - --quarto-hl-fl-color: #ae81ff; - --quarto-hl-fu-color: #a6e22e; - --quarto-hl-im-color: #f92672; - --quarto-hl-in-color: #f1fa8c; - --quarto-hl-kw-color: #f92672; - --quarto-hl-op-color: #f8f8f2; - --quarto-hl-pp-color: #f92672; - --quarto-hl-re-color: #75715e; - --quarto-hl-sc-color: #ae81ff; - --quarto-hl-ss-color: #e6db74; - --quarto-hl-st-color: #e6db74; - --quarto-hl-va-color: #f8f8f2; - --quarto-hl-vs-color: #e6db74; - --quarto-hl-wa-color: #ff5555; -} - -/* other quarto variables */ -:root { - --quarto-font-monospace: "Inconsolata", "PT Mono", SFMono-Regular, Consolas, monospace; -} - -code span.al { - font-weight: bold; - color: #ff5555; -} - -code span.an { - color: #75715e; -} - -code span.at { - color: #f92672; -} - -code span.bn { - color: #ae81ff; -} - -code span.bu { - color: #66D9EF; -} - -code span.ch { - color: #e6db74; -} - -code span.co { - color: #75715e; -} - -code span.cv { - color: #75715e; -} - -code span.cn { - color: #ae81ff; -} - -code span.cf { - color: #f92672; -} - -code span.dt { - font-style: italic; - color: #66d9ef; -} - -code span.dv { - color: #ae81ff; -} - -code span.do { - color: #75715e; -} - -code span.er { - color: #ff5555; - text-decoration: underline; -} - -code span.ex { - font-weight: bold; - color: #a6e22e; -} - -code span.fl { - color: #ae81ff; -} - -code span.fu { - color: #a6e22e; -} - -code span.im { - color: #f92672; -} - -code span.in { - color: #f1fa8c; -} - -code span.kw { - color: #f92672; -} - -pre > code.sourceCode > span { - color: #f8f8f2; -} - -code span { - color: #f8f8f2; -} - -code.sourceCode > span { - color: #f8f8f2; -} - -div.sourceCode, -div.sourceCode pre.sourceCode { - color: #f8f8f2; -} - -code span.op { - color: #f8f8f2; -} - -code span.pp { - color: #f92672; -} - -code span.re { - color: #75715e; -} - -code span.sc { - color: #ae81ff; -} - -code span.ss { - color: #e6db74; -} - -code span.st { - color: #e6db74; -} - -code span.va { - color: #f8f8f2; -} - -code span.vs { - color: #e6db74; -} - -code span.wa { - color: #ff5555; -} - -.prevent-inlining { - content: " code.sourceCode > span { - color: #f8f8f2; -} - -code span { - color: #f8f8f2; -} - -code.sourceCode > span { - color: #f8f8f2; -} - -div.sourceCode, -div.sourceCode pre.sourceCode { - color: #f8f8f2; -} - -code span.op { - color: #f8f8f2; -} - -code span.pp { - color: #f92672; -} - -code span.re { - color: #75715e; -} - -code span.sc { - color: #ae81ff; -} - -code span.ss { - color: #e6db74; -} - -code span.st { - color: #e6db74; -} - -code span.va { - color: #f8f8f2; -} - -code span.vs { - color: #e6db74; -} - -code span.wa { - color: #ff5555; -} - -.prevent-inlining { - content: " { - // Find any conflicting margin elements and add margins to the - // top to prevent overlap - const marginChildren = window.document.querySelectorAll( - ".column-margin.column-container > * " - ); - - let lastBottom = 0; - for (const marginChild of marginChildren) { - if (marginChild.offsetParent !== null) { - // clear the top margin so we recompute it - marginChild.style.marginTop = null; - const top = marginChild.getBoundingClientRect().top + window.scrollY; - console.log({ - childtop: marginChild.getBoundingClientRect().top, - scroll: window.scrollY, - top, - lastBottom, - }); - if (top < lastBottom) { - const margin = lastBottom - top; - marginChild.style.marginTop = `${margin}px`; - } - const styles = window.getComputedStyle(marginChild); - const marginTop = parseFloat(styles["marginTop"]); - - console.log({ - top, - height: marginChild.getBoundingClientRect().height, - marginTop, - total: top + marginChild.getBoundingClientRect().height + marginTop, - }); - lastBottom = top + marginChild.getBoundingClientRect().height + marginTop; - } - } -}; - -window.document.addEventListener("DOMContentLoaded", function (_event) { - // Recompute the position of margin elements anytime the body size changes - if (window.ResizeObserver) { - const resizeObserver = new window.ResizeObserver( - throttle(layoutMarginEls, 50) - ); - resizeObserver.observe(window.document.body); - } - - const tocEl = window.document.querySelector('nav.toc-active[role="doc-toc"]'); - const sidebarEl = window.document.getElementById("quarto-sidebar"); - const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left"); - const marginSidebarEl = window.document.getElementById( - "quarto-margin-sidebar" - ); - // function to determine whether the element has a previous sibling that is active - const prevSiblingIsActiveLink = (el) => { - const sibling = el.previousElementSibling; - if (sibling && sibling.tagName === "A") { - return sibling.classList.contains("active"); - } else { - return false; - } - }; - - // fire slideEnter for bootstrap tab activations (for htmlwidget resize behavior) - function fireSlideEnter(e) { - const event = window.document.createEvent("Event"); - event.initEvent("slideenter", true, true); - window.document.dispatchEvent(event); - } - const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]'); - tabs.forEach((tab) => { - tab.addEventListener("shown.bs.tab", fireSlideEnter); - }); - - // fire slideEnter for tabby tab activations (for htmlwidget resize behavior) - document.addEventListener("tabby", fireSlideEnter, false); - - // Track scrolling and mark TOC links as active - // get table of contents and sidebar (bail if we don't have at least one) - const tocLinks = tocEl - ? [...tocEl.querySelectorAll("a[data-scroll-target]")] - : []; - const makeActive = (link) => tocLinks[link].classList.add("active"); - const removeActive = (link) => tocLinks[link].classList.remove("active"); - const removeAllActive = () => - [...Array(tocLinks.length).keys()].forEach((link) => removeActive(link)); - - // activate the anchor for a section associated with this TOC entry - tocLinks.forEach((link) => { - link.addEventListener("click", () => { - if (link.href.indexOf("#") !== -1) { - const anchor = link.href.split("#")[1]; - const heading = window.document.querySelector( - `[data-anchor-id=${anchor}]` - ); - if (heading) { - // Add the class - heading.classList.add("reveal-anchorjs-link"); - - // function to show the anchor - const handleMouseout = () => { - heading.classList.remove("reveal-anchorjs-link"); - heading.removeEventListener("mouseout", handleMouseout); - }; - - // add a function to clear the anchor when the user mouses out of it - heading.addEventListener("mouseout", handleMouseout); - } - } - }); - }); - - const sections = tocLinks.map((link) => { - const target = link.getAttribute("data-scroll-target"); - if (target.startsWith("#")) { - return window.document.getElementById(decodeURI(`${target.slice(1)}`)); - } else { - return window.document.querySelector(decodeURI(`${target}`)); - } - }); - - const sectionMargin = 200; - let currentActive = 0; - // track whether we've initialized state the first time - let init = false; - - const updateActiveLink = () => { - // The index from bottom to top (e.g. reversed list) - let sectionIndex = -1; - if ( - window.innerHeight + window.pageYOffset >= - window.document.body.offsetHeight - ) { - sectionIndex = 0; - } else { - sectionIndex = [...sections].reverse().findIndex((section) => { - if (section) { - return window.pageYOffset >= section.offsetTop - sectionMargin; - } else { - return false; - } - }); - } - if (sectionIndex > -1) { - const current = sections.length - sectionIndex - 1; - if (current !== currentActive) { - removeAllActive(); - currentActive = current; - makeActive(current); - if (init) { - window.dispatchEvent(sectionChanged); - } - init = true; - } - } - }; - - const inHiddenRegion = (top, bottom, hiddenRegions) => { - for (const region of hiddenRegions) { - if (top <= region.bottom && bottom >= region.top) { - return true; - } - } - return false; - }; - - const categorySelector = "header.quarto-title-block .quarto-category"; - const activateCategories = (href) => { - // Find any categories - // Surround them with a link pointing back to: - // #category=Authoring - try { - const categoryEls = window.document.querySelectorAll(categorySelector); - for (const categoryEl of categoryEls) { - const categoryText = categoryEl.textContent; - if (categoryText) { - const link = `${href}#category=${encodeURIComponent(categoryText)}`; - const linkEl = window.document.createElement("a"); - linkEl.setAttribute("href", link); - for (const child of categoryEl.childNodes) { - linkEl.append(child); - } - categoryEl.appendChild(linkEl); - } - } - } catch { - // Ignore errors - } - }; - function hasTitleCategories() { - return window.document.querySelector(categorySelector) !== null; - } - - function offsetRelativeUrl(url) { - const offset = getMeta("quarto:offset"); - return offset ? offset + url : url; - } - - function offsetAbsoluteUrl(url) { - const offset = getMeta("quarto:offset"); - const baseUrl = new URL(offset, window.location); - - const projRelativeUrl = url.replace(baseUrl, ""); - if (projRelativeUrl.startsWith("/")) { - return projRelativeUrl; - } else { - return "/" + projRelativeUrl; - } - } - - // read a meta tag value - function getMeta(metaName) { - const metas = window.document.getElementsByTagName("meta"); - for (let i = 0; i < metas.length; i++) { - if (metas[i].getAttribute("name") === metaName) { - return metas[i].getAttribute("content"); - } - } - return ""; - } - - async function findAndActivateCategories() { - const currentPagePath = offsetAbsoluteUrl(window.location.href); - const response = await fetch(offsetRelativeUrl("listings.json")); - if (response.status == 200) { - return response.json().then(function (listingPaths) { - const listingHrefs = []; - for (const listingPath of listingPaths) { - const pathWithoutLeadingSlash = listingPath.listing.substring(1); - for (const item of listingPath.items) { - if ( - item === currentPagePath || - item === currentPagePath + "index.html" - ) { - // Resolve this path against the offset to be sure - // we already are using the correct path to the listing - // (this adjusts the listing urls to be rooted against - // whatever root the page is actually running against) - const relative = offsetRelativeUrl(pathWithoutLeadingSlash); - const baseUrl = window.location; - const resolvedPath = new URL(relative, baseUrl); - listingHrefs.push(resolvedPath.pathname); - break; - } - } - } - - // Look up the tree for a nearby linting and use that if we find one - const nearestListing = findNearestParentListing( - offsetAbsoluteUrl(window.location.pathname), - listingHrefs - ); - if (nearestListing) { - activateCategories(nearestListing); - } else { - // See if the referrer is a listing page for this item - const referredRelativePath = offsetAbsoluteUrl(document.referrer); - const referrerListing = listingHrefs.find((listingHref) => { - const isListingReferrer = - listingHref === referredRelativePath || - listingHref === referredRelativePath + "index.html"; - return isListingReferrer; - }); - - if (referrerListing) { - // Try to use the referrer if possible - activateCategories(referrerListing); - } else if (listingHrefs.length > 0) { - // Otherwise, just fall back to the first listing - activateCategories(listingHrefs[0]); - } - } - }); - } - } - if (hasTitleCategories()) { - findAndActivateCategories(); - } - - const findNearestParentListing = (href, listingHrefs) => { - if (!href || !listingHrefs) { - return undefined; - } - // Look up the tree for a nearby linting and use that if we find one - const relativeParts = href.substring(1).split("/"); - while (relativeParts.length > 0) { - const path = relativeParts.join("/"); - for (const listingHref of listingHrefs) { - if (listingHref.startsWith(path)) { - return listingHref; - } - } - relativeParts.pop(); - } - - return undefined; - }; - - const manageSidebarVisiblity = (el, placeholderDescriptor) => { - let isVisible = true; - let elRect; - - return (hiddenRegions) => { - if (el === null) { - return; - } - - // Find the last element of the TOC - const lastChildEl = el.lastElementChild; - - if (lastChildEl) { - // Converts the sidebar to a menu - const convertToMenu = () => { - for (const child of el.children) { - child.style.opacity = 0; - child.style.overflow = "hidden"; - } - - nexttick(() => { - const toggleContainer = window.document.createElement("div"); - toggleContainer.style.width = "100%"; - toggleContainer.classList.add("zindex-over-content"); - toggleContainer.classList.add("quarto-sidebar-toggle"); - toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom - toggleContainer.id = placeholderDescriptor.id; - toggleContainer.style.position = "fixed"; - - const toggleIcon = window.document.createElement("i"); - toggleIcon.classList.add("quarto-sidebar-toggle-icon"); - toggleIcon.classList.add("bi"); - toggleIcon.classList.add("bi-caret-down-fill"); - - const toggleTitle = window.document.createElement("div"); - const titleEl = window.document.body.querySelector( - placeholderDescriptor.titleSelector - ); - if (titleEl) { - toggleTitle.append( - titleEl.textContent || titleEl.innerText, - toggleIcon - ); - } - toggleTitle.classList.add("zindex-over-content"); - toggleTitle.classList.add("quarto-sidebar-toggle-title"); - toggleContainer.append(toggleTitle); - - const toggleContents = window.document.createElement("div"); - toggleContents.classList = el.classList; - toggleContents.classList.add("zindex-over-content"); - toggleContents.classList.add("quarto-sidebar-toggle-contents"); - for (const child of el.children) { - if (child.id === "toc-title") { - continue; - } - - const clone = child.cloneNode(true); - clone.style.opacity = 1; - clone.style.display = null; - toggleContents.append(clone); - } - toggleContents.style.height = "0px"; - const positionToggle = () => { - // position the element (top left of parent, same width as parent) - if (!elRect) { - elRect = el.getBoundingClientRect(); - } - toggleContainer.style.left = `${elRect.left}px`; - toggleContainer.style.top = `${elRect.top}px`; - toggleContainer.style.width = `${elRect.width}px`; - }; - positionToggle(); - - toggleContainer.append(toggleContents); - el.parentElement.prepend(toggleContainer); - - // Process clicks - let tocShowing = false; - // Allow the caller to control whether this is dismissed - // when it is clicked (e.g. sidebar navigation supports - // opening and closing the nav tree, so don't dismiss on click) - const clickEl = placeholderDescriptor.dismissOnClick - ? toggleContainer - : toggleTitle; - - const closeToggle = () => { - if (tocShowing) { - toggleContainer.classList.remove("expanded"); - toggleContents.style.height = "0px"; - tocShowing = false; - } - }; - - // Get rid of any expanded toggle if the user scrolls - window.document.addEventListener( - "scroll", - throttle(() => { - closeToggle(); - }, 50) - ); - - // Handle positioning of the toggle - window.addEventListener( - "resize", - throttle(() => { - elRect = undefined; - positionToggle(); - }, 50) - ); - - window.addEventListener("quarto-hrChanged", () => { - elRect = undefined; - }); - - // Process the click - clickEl.onclick = () => { - if (!tocShowing) { - toggleContainer.classList.add("expanded"); - toggleContents.style.height = null; - tocShowing = true; - } else { - closeToggle(); - } - }; - }); - }; - - // Converts a sidebar from a menu back to a sidebar - const convertToSidebar = () => { - for (const child of el.children) { - child.style.opacity = 1; - child.style.overflow = null; - } - - const placeholderEl = window.document.getElementById( - placeholderDescriptor.id - ); - if (placeholderEl) { - placeholderEl.remove(); - } - - el.classList.remove("rollup"); - }; - - if (isReaderMode()) { - convertToMenu(); - isVisible = false; - } else { - // Find the top and bottom o the element that is being managed - const elTop = el.offsetTop; - const elBottom = - elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight; - - if (!isVisible) { - // If the element is current not visible reveal if there are - // no conflicts with overlay regions - if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) { - convertToSidebar(); - isVisible = true; - } - } else { - // If the element is visible, hide it if it conflicts with overlay regions - // and insert a placeholder toggle (or if we're in reader mode) - if (inHiddenRegion(elTop, elBottom, hiddenRegions)) { - convertToMenu(); - isVisible = false; - } - } - } - } - }; - }; - - const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]'); - for (const tabEl of tabEls) { - const id = tabEl.getAttribute("data-bs-target"); - if (id) { - const columnEl = document.querySelector( - `${id} .column-margin, .tabset-margin-content` - ); 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- const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, { - id: "quarto-sidebarnav-toggle", - titleSelector: ".title", - dismissOnClick: false, - }); - let tocLeftScrollVisibility; - if (leftTocEl) { - tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, { - id: "quarto-lefttoc-toggle", - titleSelector: "#toc-title", - dismissOnClick: true, - }); - } - - // Find the first element that uses formatting in special columns - const conflictingEls = window.document.body.querySelectorAll( - '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]' - ); - - // Filter all the possibly conflicting elements into ones - // the do conflict on the left or ride side - const arrConflictingEls = Array.from(conflictingEls); - const leftSideConflictEls = arrConflictingEls.filter((el) => { - if (el.tagName === "ASIDE") { - return false; - } - return Array.from(el.classList).find((className) => { - return ( - className !== "column-body" && - className.startsWith("column-") && - !className.endsWith("right") && - !className.endsWith("container") && - className !== "column-margin" - ); 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activeEls) { - activeEl.classList.remove("active"); - } - - // Activate this category - const categoryEl = window.document.querySelector( - `.quarto-listing-category .category[data-category='${category}'` - ); - if (categoryEl) { - categoryEl.classList.add("active"); - } - - // Filter the listings to this category - filterListingCategory(category); -} - -function filterListingCategory(category) { - const listingIds = Object.keys(window["quarto-listings"]); - for (const listingId of listingIds) { - const list = window["quarto-listings"][listingId]; - if (list) { - if (category === "") { - // resets the filter - list.filter(); - } else { - // filter to this category - list.filter(function (item) { - const itemValues = item.values(); - if (itemValues.categories !== null) { - const categories = itemValues.categories.split(","); - return categories.includes(category); - } else { - return false; - } - }); - } - } - } -} diff --git a/_site_rendered/site_libs/quarto-nav/quarto-nav.js b/_site_rendered/site_libs/quarto-nav/quarto-nav.js deleted file mode 100644 index 3b21201..0000000 --- a/_site_rendered/site_libs/quarto-nav/quarto-nav.js +++ /dev/null @@ -1,277 +0,0 @@ -const headroomChanged = new CustomEvent("quarto-hrChanged", { - detail: {}, - bubbles: true, - cancelable: false, - composed: false, -}); - -window.document.addEventListener("DOMContentLoaded", function () { - let init = false; - - // Manage the back to top button, if one is present. - let lastScrollTop = window.pageYOffset || document.documentElement.scrollTop; - const scrollDownBuffer = 5; - const scrollUpBuffer = 35; - const btn = document.getElementById("quarto-back-to-top"); - const hideBackToTop = () => { - btn.style.display = "none"; - }; - const showBackToTop = () => { - btn.style.display = "inline-block"; - }; - if (btn) { - window.document.addEventListener( - "scroll", - function () { - const currentScrollTop = - window.pageYOffset || document.documentElement.scrollTop; - - // Shows and 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section:target::before { - content: ""; - display: block; - height: ${topOffset}px; - margin: -${topOffset}px 0 0; - }`) - ); - } - if (init) { - window.dispatchEvent(headroomChanged); - } - init = true; - } - - // initialize headroom - var header = window.document.querySelector("#quarto-header"); - if (header && window.Headroom) { - const headroom = new window.Headroom(header, { - tolerance: 5, - onPin: function () { - const sidebars = window.document.querySelectorAll( - ".sidebar, .headroom-target" - ); - sidebars.forEach((sidebar) => { - sidebar.classList.remove("sidebar-unpinned"); - }); - updateDocumentOffset(); - }, - onUnpin: function () { - const sidebars = window.document.querySelectorAll( - ".sidebar, .headroom-target" - ); - sidebars.forEach((sidebar) => { - sidebar.classList.add("sidebar-unpinned"); - }); - updateDocumentOffset(); - }, - }); - headroom.init(); - - let frozen = false; - window.quartoToggleHeadroom = function () { - if (frozen) { - headroom.unfreeze(); - frozen = false; - } else { - headroom.freeze(); - frozen = true; - } - }; - } - - window.addEventListener( - "hashchange", - function (e) { - if ( - getComputedStyle(document.documentElement).scrollBehavior !== "smooth" - ) { - window.scrollTo(0, window.pageYOffset - headerOffset()); - } - }, - false - ); - - // Observe size changed for the header - const headerEl = window.document.querySelector("header.fixed-top"); - if (headerEl && window.ResizeObserver) { - const observer = new window.ResizeObserver( - updateDocumentOffsetWithoutAnimation - ); - observer.observe(headerEl, { - attributes: true, - childList: true, - characterData: true, - }); - } else { - window.addEventListener( - "resize", - throttle(updateDocumentOffsetWithoutAnimation, 50) - ); - } - setTimeout(updateDocumentOffsetWithoutAnimation, 250); - - // fixup index.html links if we aren't on the filesystem - if (window.location.protocol !== "file:") { - const links = window.document.querySelectorAll("a"); - for (let i = 0; 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a/_site_rendered/site_libs/quarto-search/quarto-search.js b/_site_rendered/site_libs/quarto-search/quarto-search.js deleted file mode 100644 index f5d852d..0000000 --- a/_site_rendered/site_libs/quarto-search/quarto-search.js +++ /dev/null @@ -1,1140 +0,0 @@ -const kQueryArg = "q"; -const kResultsArg = "show-results"; - -// If items don't provide a URL, then both the navigator and the onSelect -// function aren't called (and therefore, the default implementation is used) -// -// We're using this sentinel URL to signal to those handlers that this -// item is a more item (along with the type) and can be handled appropriately -const kItemTypeMoreHref = "0767FDFD-0422-4E5A-BC8A-3BE11E5BBA05"; - -window.document.addEventListener("DOMContentLoaded", function (_event) { - // Ensure that search is available on this page. If it isn't, - // should return early and not do anything - var searchEl = window.document.getElementById("quarto-search"); - if (!searchEl) return; - - const { autocomplete } = window["@algolia/autocomplete-js"]; - - let quartoSearchOptions = {}; - let language = {}; - const searchOptionEl = window.document.getElementById( - "quarto-search-options" - ); - if (searchOptionEl) { - const jsonStr = searchOptionEl.textContent; - quartoSearchOptions = JSON.parse(jsonStr); - language = quartoSearchOptions.language; - } - - // note the search mode - if (quartoSearchOptions.type === "overlay") { - searchEl.classList.add("type-overlay"); - } else { - searchEl.classList.add("type-textbox"); - } - - // Used to determine highlighting behavior for this page - // A `q` query param is expected when the user follows a search - // to this page - const currentUrl = new URL(window.location); - const query = currentUrl.searchParams.get(kQueryArg); - const showSearchResults = currentUrl.searchParams.get(kResultsArg); - const mainEl = window.document.querySelector("main"); - - // highlight matches on the page - if (query !== null && mainEl) { - // perform any highlighting - highlight(escapeRegExp(query), mainEl); - - // fix up the URL to remove the q query param - const replacementUrl = new URL(window.location); - replacementUrl.searchParams.delete(kQueryArg); - window.history.replaceState({}, "", replacementUrl); - } - - // function to clear highlighting on the page when the search query changes - // (e.g. if the user edits the query or clears it) - let highlighting = true; - const resetHighlighting = (searchTerm) => { - if (mainEl && highlighting && query !== null && searchTerm !== query) { - clearHighlight(query, mainEl); - highlighting = false; - } - }; - - // Clear search highlighting when the user scrolls sufficiently - const resetFn = () => { - resetHighlighting(""); - window.removeEventListener("quarto-hrChanged", resetFn); - window.removeEventListener("quarto-sectionChanged", resetFn); - }; - - // Register this event after the initial scrolling and settling of events - // on the page - window.addEventListener("quarto-hrChanged", resetFn); - window.addEventListener("quarto-sectionChanged", resetFn); - - // Responsively switch to overlay mode if the search is present on the navbar - // Note that switching the sidebar to overlay mode requires more coordinate (not just - // the media query since we generate different HTML for sidebar overlays than we do - // for sidebar input UI) - const detachedMediaQuery = - quartoSearchOptions.type === "overlay" ? "all" : "(max-width: 991px)"; - - // If configured, include the analytics client to send insights - const plugins = configurePlugins(quartoSearchOptions); - - let lastState = null; - const { setIsOpen, setQuery, setCollections } = autocomplete({ - container: searchEl, - detachedMediaQuery: detachedMediaQuery, - defaultActiveItemId: 0, - panelContainer: "#quarto-search-results", - panelPlacement: quartoSearchOptions["panel-placement"], - debug: false, - openOnFocus: true, - plugins, - classNames: { - form: "d-flex", - }, - translations: { - clearButtonTitle: language["search-clear-button-title"], - detachedCancelButtonText: language["search-detached-cancel-button-title"], - submitButtonTitle: language["search-submit-button-title"], - }, - initialState: { - query, - }, - getItemUrl({ item }) { - return item.href; - }, - onStateChange({ state }) { - // Perhaps reset highlighting - resetHighlighting(state.query); - - // If the panel just opened, ensure the panel is positioned properly - if (state.isOpen) { - if (lastState && !lastState.isOpen) { - setTimeout(() => { - positionPanel(quartoSearchOptions["panel-placement"]); - }, 150); - } - } - - // Perhaps show the copy link - showCopyLink(state.query, quartoSearchOptions); - - lastState = state; - }, - reshape({ sources, state }) { - return sources.map((source) => { - try { - const items = source.getItems(); - - // Validate the items - validateItems(items); - - // group the items by document - const groupedItems = new Map(); - items.forEach((item) => { - const hrefParts = item.href.split("#"); - const baseHref = hrefParts[0]; - const isDocumentItem = hrefParts.length === 1; - - const items = groupedItems.get(baseHref); - if (!items) { - groupedItems.set(baseHref, [item]); - } else { - // If the href for this item matches the document - // exactly, place this item first as it is the item that represents - // the document itself - if (isDocumentItem) { - items.unshift(item); - } else { - items.push(item); - } - groupedItems.set(baseHref, items); - } - }); - - const reshapedItems = []; - let count = 1; - for (const [_key, value] of groupedItems) { - const firstItem = value[0]; - reshapedItems.push({ - ...firstItem, - type: kItemTypeDoc, - }); - - const collapseMatches = quartoSearchOptions["collapse-after"]; - const collapseCount = - typeof collapseMatches === "number" ? collapseMatches : 1; - - if (value.length > 1) { - const target = `search-more-${count}`; - const isExpanded = - state.context.expanded && - state.context.expanded.includes(target); - - const remainingCount = value.length - collapseCount; - - for (let i = 1; i < value.length; i++) { - if (collapseMatches && i === collapseCount) { - reshapedItems.push({ - target, - title: isExpanded - ? language["search-hide-matches-text"] - : remainingCount === 1 - ? `${remainingCount} ${language["search-more-match-text"]}` - : `${remainingCount} ${language["search-more-matches-text"]}`, - type: kItemTypeMore, - href: kItemTypeMoreHref, - }); - } - - if (isExpanded || !collapseMatches || i < collapseCount) { - reshapedItems.push({ - ...value[i], - type: kItemTypeItem, - target, - }); - } - } - } - count += 1; - } - - return { - ...source, - getItems() { - return reshapedItems; - }, - }; - } catch (error) { - // Some form of error occurred - return { - ...source, - getItems() { - return [ - { - title: error.name || "An Error Occurred While Searching", - text: - error.message || - "An unknown error occurred while attempting to perform the requested search.", - type: kItemTypeError, - }, - ]; - }, - }; - } - }); - }, - navigator: { - navigate({ itemUrl }) { - if (itemUrl !== offsetURL(kItemTypeMoreHref)) { - window.location.assign(itemUrl); - } - }, - navigateNewTab({ itemUrl }) { - if (itemUrl !== offsetURL(kItemTypeMoreHref)) { - const windowReference = window.open(itemUrl, "_blank", "noopener"); - if (windowReference) { - windowReference.focus(); - } - } - }, - navigateNewWindow({ itemUrl }) { - if (itemUrl !== offsetURL(kItemTypeMoreHref)) { - window.open(itemUrl, "_blank", "noopener"); - } - }, - }, - getSources({ state, setContext, setActiveItemId, refresh }) { - return [ - { - sourceId: "documents", - getItemUrl({ item }) { - if (item.href) { - return offsetURL(item.href); - } else { - return undefined; - } - }, - onSelect({ - item, - state, - setContext, - setIsOpen, - setActiveItemId, - refresh, - }) { - if (item.type === kItemTypeMore) { - toggleExpanded(item, state, setContext, setActiveItemId, refresh); - - // Toggle more - setIsOpen(true); - } - }, - getItems({ query }) { - if (query === null || query === "") { - return []; - } - - const limit = quartoSearchOptions.limit; - if (quartoSearchOptions.algolia) { - return algoliaSearch(query, limit, quartoSearchOptions.algolia); - } else { - // Fuse search options - const fuseSearchOptions = { - isCaseSensitive: false, - shouldSort: true, - minMatchCharLength: 2, - limit: limit, - }; - - return readSearchData().then(function (fuse) { - return fuseSearch(query, fuse, fuseSearchOptions); - }); - } - }, - templates: { - noResults({ createElement }) { - const hasQuery = lastState.query; - - return createElement( - "div", - { - class: `quarto-search-no-results${ - hasQuery ? "" : " no-query" - }`, - }, - language["search-no-results-text"] - ); - }, - header({ items, createElement }) { - // count the documents - const count = items.filter((item) => { - return item.type === kItemTypeDoc; - }).length; - - if (count > 0) { - return createElement( - "div", - { class: "search-result-header" }, - `${count} ${language["search-matching-documents-text"]}` - ); - } else { - return createElement( - "div", - { class: "search-result-header-no-results" }, - `` - ); - } - }, - footer({ _items, createElement }) { - if ( - quartoSearchOptions.algolia && - quartoSearchOptions.algolia["show-logo"] - ) { - const libDir = quartoSearchOptions.algolia["libDir"]; - const logo = createElement("img", { - src: offsetURL( - `${libDir}/quarto-search/search-by-algolia.svg` - ), - class: "algolia-search-logo", - }); - return createElement( - "a", - { href: "http://www.algolia.com/" }, - logo - ); - } - }, - - item({ item, createElement }) { - return renderItem( - item, - createElement, - state, - setActiveItemId, - setContext, - refresh - ); - }, - }, - }, - ]; - }, - }); - - window.quartoOpenSearch = () => { - setIsOpen(false); - setIsOpen(true); - focusSearchInput(); - }; - - // Remove the labeleledby attribute since it is pointing - // to a non-existent label - if (quartoSearchOptions.type === "overlay") { - const inputEl = window.document.querySelector( - "#quarto-search .aa-Autocomplete" - ); - if (inputEl) { - inputEl.removeAttribute("aria-labelledby"); - } - } - - // If the main document scrolls dismiss the search results - // (otherwise, since they're floating in the document they can scroll with the document) - window.document.body.onscroll = () => { - setIsOpen(false); - }; - - if (showSearchResults) { - setIsOpen(true); - focusSearchInput(); - } -}); - -function configurePlugins(quartoSearchOptions) { - const autocompletePlugins = []; - const algoliaOptions = quartoSearchOptions.algolia; - if ( - algoliaOptions && - algoliaOptions["analytics-events"] && - algoliaOptions["search-only-api-key"] && - algoliaOptions["application-id"] - ) { - const apiKey = algoliaOptions["search-only-api-key"]; - const appId = algoliaOptions["application-id"]; - - // Aloglia insights may not be loaded because they require cookie consent - // Use deferred loading so events will start being recorded when/if consent - // is granted. - const algoliaInsightsDeferredPlugin = deferredLoadPlugin(() => { - if ( - window.aa && - window["@algolia/autocomplete-plugin-algolia-insights"] - ) { - window.aa("init", { - appId, - apiKey, - useCookie: true, - }); - - const { createAlgoliaInsightsPlugin } = - window["@algolia/autocomplete-plugin-algolia-insights"]; - // Register the insights client - const algoliaInsightsPlugin = createAlgoliaInsightsPlugin({ - insightsClient: window.aa, - onItemsChange({ insights, insightsEvents }) { - const events = insightsEvents.map((event) => { - const maxEvents = event.objectIDs.slice(0, 20); - return { - ...event, - objectIDs: maxEvents, - }; - }); - - insights.viewedObjectIDs(...events); - }, - }); - return algoliaInsightsPlugin; - } - }); - - // Add the plugin - autocompletePlugins.push(algoliaInsightsDeferredPlugin); - return autocompletePlugins; - } -} - -// For plugins that may not load immediately, create a wrapper -// plugin and forward events and plugin data once the plugin -// is initialized. This is useful for cases like cookie consent -// which may prevent the analytics insights event plugin from initializing -// immediately. -function deferredLoadPlugin(createPlugin) { - let plugin = undefined; - let subscribeObj = undefined; - const wrappedPlugin = () => { - if (!plugin && subscribeObj) { - plugin = createPlugin(); - if (plugin && plugin.subscribe) { - plugin.subscribe(subscribeObj); - } - } - return plugin; - }; - - return { - subscribe: (obj) => { - subscribeObj = obj; - }, - onStateChange: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.onStateChange) { - plugin.onStateChange(obj); - } - }, - onSubmit: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.onSubmit) { - plugin.onSubmit(obj); - } - }, - onReset: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.onReset) { - plugin.onReset(obj); - } - }, - getSources: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.getSources) { - return plugin.getSources(obj); - } else { - return Promise.resolve([]); - } - }, - data: (obj) => { - const plugin = wrappedPlugin(); - if (plugin && plugin.data) { - plugin.data(obj); - } - }, - }; -} - -function validateItems(items) { - // Validate the first item - if (items.length > 0) { - const item = items[0]; - const missingFields = []; - if (item.href == undefined) { - missingFields.push("href"); - } - if (!item.title == undefined) { - missingFields.push("title"); - } - if (!item.text == undefined) { - missingFields.push("text"); - } - - if (missingFields.length === 1) { - throw { - name: `Error: Search index is missing the ${missingFields[0]} field.`, - message: `The items being returned for this search do not include all the required fields. Please ensure that your index items include the ${missingFields[0]} field or use index-fields in your _quarto.yml file to specify the field names.`, - }; - } else if (missingFields.length > 1) { - const missingFieldList = missingFields - .map((field) => { - return `${field}`; - }) - .join(", "); - - throw { - name: `Error: Search index is missing the following fields: ${missingFieldList}.`, - message: `The items being returned for this search do not include all the required fields. Please ensure that your index items includes the following fields: ${missingFieldList}, or use index-fields in your _quarto.yml file to specify the field names.`, - }; - } - } -} - -let lastQuery = null; -function showCopyLink(query, options) { - const language = options.language; - lastQuery = query; - // Insert share icon - const inputSuffixEl = window.document.body.querySelector( - ".aa-Form .aa-InputWrapperSuffix" - ); - - if (inputSuffixEl) { - let copyButtonEl = window.document.body.querySelector( - ".aa-Form .aa-InputWrapperSuffix .aa-CopyButton" - ); - - if (copyButtonEl === null) { - copyButtonEl = window.document.createElement("button"); - copyButtonEl.setAttribute("class", "aa-CopyButton"); - copyButtonEl.setAttribute("type", "button"); - copyButtonEl.setAttribute("title", language["search-copy-link-title"]); - copyButtonEl.onmousedown = (e) => { - e.preventDefault(); - e.stopPropagation(); - }; - - const linkIcon = "bi-clipboard"; - const checkIcon = "bi-check2"; - - const shareIconEl = window.document.createElement("i"); - shareIconEl.setAttribute("class", `bi ${linkIcon}`); - copyButtonEl.appendChild(shareIconEl); - inputSuffixEl.prepend(copyButtonEl); - - const clipboard = new window.ClipboardJS(".aa-CopyButton", { - text: function (_trigger) { - const copyUrl = new URL(window.location); - copyUrl.searchParams.set(kQueryArg, lastQuery); - copyUrl.searchParams.set(kResultsArg, "1"); - return copyUrl.toString(); - }, - }); - clipboard.on("success", function (e) { - // Focus the input - - // button target - const button = e.trigger; - const icon = button.querySelector("i.bi"); - - // flash "checked" - icon.classList.add(checkIcon); - icon.classList.remove(linkIcon); - setTimeout(function () { - icon.classList.remove(checkIcon); - icon.classList.add(linkIcon); - }, 1000); - }); - } - - // If there is a query, show the link icon - if (copyButtonEl) { - if (lastQuery && options["copy-button"]) { - copyButtonEl.style.display = "flex"; - } else { - copyButtonEl.style.display = "none"; - } - } - } -} - -/* Search Index Handling */ -// create the index -var fuseIndex = undefined; -async function readSearchData() { - // Initialize the search index on demand - if (fuseIndex === undefined) { - // create fuse index - const options = { - keys: [ - { name: "title", weight: 20 }, - { name: "section", weight: 20 }, - { name: "text", weight: 10 }, - ], - ignoreLocation: true, - threshold: 0.1, - }; - const fuse = new window.Fuse([], options); - - // fetch the main search.json - const response = await fetch(offsetURL("search.json")); - if (response.status == 200) { - return response.json().then(function (searchDocs) { - searchDocs.forEach(function (searchDoc) { - fuse.add(searchDoc); - }); - fuseIndex = fuse; - return fuseIndex; - }); - } else { - return Promise.reject( - new Error( - "Unexpected status from search index request: " + response.status - ) - ); - } - } - return fuseIndex; -} - -function inputElement() { - return window.document.body.querySelector(".aa-Form .aa-Input"); -} - -function focusSearchInput() { - setTimeout(() => { - const inputEl = inputElement(); - if (inputEl) { - inputEl.focus(); - } - }, 50); -} - -/* Panels */ -const kItemTypeDoc = "document"; -const kItemTypeMore = "document-more"; -const kItemTypeItem = "document-item"; -const kItemTypeError = "error"; - -function renderItem( - item, - createElement, - state, - setActiveItemId, - setContext, - refresh -) { - switch (item.type) { - case kItemTypeDoc: - return createDocumentCard( - createElement, - "file-richtext", - item.title, - item.section, - item.text, - item.href - ); - case kItemTypeMore: - return createMoreCard( - createElement, - item, - state, - setActiveItemId, - setContext, - refresh - ); - case kItemTypeItem: - return createSectionCard( - createElement, - item.section, - item.text, - item.href - ); - case kItemTypeError: - return createErrorCard(createElement, item.title, item.text); - default: - return undefined; - } -} - -function createDocumentCard(createElement, icon, title, section, text, href) { - const iconEl = createElement("i", { - class: `bi bi-${icon} search-result-icon`, - }); - const titleEl = createElement("p", { class: "search-result-title" }, title); - const titleContainerEl = createElement( - "div", - { class: "search-result-title-container" }, - [iconEl, titleEl] - ); - - const textEls = []; - if (section) { - const sectionEl = createElement( - "p", - { class: "search-result-section" }, - section - ); - textEls.push(sectionEl); - } - const descEl = createElement("p", { - class: "search-result-text", - dangerouslySetInnerHTML: { - __html: text, - }, - }); - textEls.push(descEl); - - const textContainerEl = createElement( - "div", - { class: "search-result-text-container" }, - textEls - ); - - const containerEl = createElement( - "div", - { - class: "search-result-container", - }, - [titleContainerEl, textContainerEl] - ); - - const linkEl = createElement( - "a", - { - href: offsetURL(href), - class: "search-result-link", - }, - containerEl - ); - - const classes = ["search-result-doc", "search-item"]; - if (!section) { - classes.push("document-selectable"); - } - - return createElement( - "div", - { - class: classes.join(" "), - }, - linkEl - ); -} - -function createMoreCard( - createElement, - item, - state, - setActiveItemId, - setContext, - refresh -) { - const moreCardEl = createElement( - "div", - { - class: "search-result-more search-item", - onClick: (e) => { - // Handle expanding the sections by adding the expanded - // section to the list of expanded sections - toggleExpanded(item, state, setContext, setActiveItemId, refresh); - e.stopPropagation(); - }, - }, - item.title - ); - - return moreCardEl; -} - -function toggleExpanded(item, state, setContext, setActiveItemId, refresh) { - const expanded = state.context.expanded || []; - if (expanded.includes(item.target)) { - setContext({ - expanded: expanded.filter((target) => target !== item.target), - }); - } else { - setContext({ expanded: [...expanded, item.target] }); - } - - refresh(); - setActiveItemId(item.__autocomplete_id); -} - -function createSectionCard(createElement, section, text, href) { - const sectionEl = createSection(createElement, section, text, href); - return createElement( - "div", - { - class: "search-result-doc-section search-item", - }, - sectionEl - ); -} - -function createSection(createElement, title, text, href) { - const descEl = createElement("p", { - class: "search-result-text", - dangerouslySetInnerHTML: { - __html: text, - }, - }); - - const titleEl = createElement("p", { class: "search-result-section" }, title); - const linkEl = createElement( - "a", - { - href: offsetURL(href), - class: "search-result-link", - }, - [titleEl, descEl] - ); - return linkEl; -} - -function createErrorCard(createElement, title, text) { - const descEl = createElement("p", { - class: "search-error-text", - dangerouslySetInnerHTML: { - __html: text, - }, - }); - - const titleEl = createElement("p", { - class: "search-error-title", - dangerouslySetInnerHTML: { - __html: ` ${title}`, - }, - }); - const errorEl = createElement("div", { class: "search-error" }, [ - titleEl, - descEl, - ]); - return errorEl; -} - -function positionPanel(pos) { - const panelEl = window.document.querySelector( - "#quarto-search-results .aa-Panel" - ); - const inputEl = window.document.querySelector( - "#quarto-search .aa-Autocomplete" - ); - - if (panelEl && inputEl) { - panelEl.style.top = `${Math.round(panelEl.offsetTop)}px`; - if (pos === "start") { - panelEl.style.left = `${Math.round(inputEl.left)}px`; - } else { - panelEl.style.right = `${Math.round(inputEl.offsetRight)}px`; - } - } -} - -/* Highlighting */ -// highlighting functions -function highlightMatch(query, text) { - if (text) { - const start = text.toLowerCase().indexOf(query.toLowerCase()); - if (start !== -1) { - const startMark = ""; - const endMark = ""; - - const end = start + query.length; - text = - text.slice(0, start) + - startMark + - text.slice(start, end) + - endMark + - text.slice(end); - const startInfo = clipStart(text, start); - const endInfo = clipEnd( - text, - startInfo.position + startMark.length + endMark.length - ); - text = - startInfo.prefix + - text.slice(startInfo.position, endInfo.position) + - endInfo.suffix; - - return text; - } else { - return text; - } - } else { - return text; - } -} - -function clipStart(text, pos) { - const clipStart = pos - 50; - if (clipStart < 0) { - // This will just return the start of the string - return { - position: 0, - prefix: "", - }; - } else { - // We're clipping before the start of the string, walk backwards to the first space. - const spacePos = findSpace(text, pos, -1); - return { - position: spacePos.position, - prefix: "", - }; - } -} - -function clipEnd(text, pos) { - const clipEnd = pos + 200; - if (clipEnd > text.length) { - return { - position: text.length, - suffix: "", - }; - } else { - const spacePos = findSpace(text, clipEnd, 1); - return { - position: spacePos.position, - suffix: spacePos.clipped ? "…" : "", - }; - } -} - -function findSpace(text, start, step) { - let stepPos = start; - while (stepPos > -1 && stepPos < text.length) { - const char = text[stepPos]; - if (char === " " || char === "," || char === ":") { - return { - position: step === 1 ? stepPos : stepPos - step, - clipped: stepPos > 1 && stepPos < text.length, - }; - } - stepPos = stepPos + step; - } - - return { - position: stepPos - step, - clipped: false, - }; -} - -// removes highlighting as implemented by the mark tag -function clearHighlight(searchterm, el) { - const childNodes = el.childNodes; - for (let i = childNodes.length - 1; i >= 0; i--) { - const node = childNodes[i]; - if (node.nodeType === Node.ELEMENT_NODE) { - if ( - node.tagName === "MARK" && - node.innerText.toLowerCase() === searchterm.toLowerCase() - ) { - el.replaceChild(document.createTextNode(node.innerText), node); - } else { - clearHighlight(searchterm, node); - } - } - } -} - -function escapeRegExp(string) { - return string.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string -} - -// highlight matches -function highlight(term, el) { - const termRegex = new RegExp(term, "ig"); - const childNodes = el.childNodes; - - // walk back to front avoid mutating elements in front of us - for (let i = childNodes.length - 1; i >= 0; i--) { - const node = childNodes[i]; - - if (node.nodeType === Node.TEXT_NODE) { - // Search text nodes for text to highlight - const text = node.nodeValue; - - let startIndex = 0; - let matchIndex = text.search(termRegex); - if (matchIndex > -1) { - const markFragment = document.createDocumentFragment(); - while (matchIndex > -1) { - const prefix = text.slice(startIndex, matchIndex); - markFragment.appendChild(document.createTextNode(prefix)); - - const mark = document.createElement("mark"); - mark.appendChild( - document.createTextNode( - text.slice(matchIndex, matchIndex + term.length) - ) - ); - markFragment.appendChild(mark); - - startIndex = matchIndex + term.length; - matchIndex = text.slice(startIndex).search(new RegExp(term, "ig")); - if (matchIndex > -1) { - matchIndex = startIndex + matchIndex; - } - } - if (startIndex < text.length) { - markFragment.appendChild( - document.createTextNode(text.slice(startIndex, text.length)) - ); - } - - el.replaceChild(markFragment, node); - } - } else if (node.nodeType === Node.ELEMENT_NODE) { - // recurse through elements - highlight(term, node); - } - } -} - -/* Link Handling */ -// get the offset from this page for a given site root relative url -function offsetURL(url) { - var offset = getMeta("quarto:offset"); - return offset ? offset + url : url; -} - -// read a meta tag value -function getMeta(metaName) { - var metas = window.document.getElementsByTagName("meta"); - for (let i = 0; i < metas.length; i++) { - if (metas[i].getAttribute("name") === metaName) { - return metas[i].getAttribute("content"); - } - } - return ""; -} - -function algoliaSearch(query, limit, algoliaOptions) { - const { getAlgoliaResults } = window["@algolia/autocomplete-preset-algolia"]; - - const applicationId = algoliaOptions["application-id"]; - const searchOnlyApiKey = algoliaOptions["search-only-api-key"]; - const indexName = algoliaOptions["index-name"]; - const indexFields = algoliaOptions["index-fields"]; - const searchClient = window.algoliasearch(applicationId, searchOnlyApiKey); - const searchParams = algoliaOptions["params"]; - const searchAnalytics = !!algoliaOptions["analytics-events"]; - - return getAlgoliaResults({ - searchClient, - queries: [ - { - indexName: indexName, - query, - params: { - hitsPerPage: limit, - clickAnalytics: searchAnalytics, - ...searchParams, - }, - }, - ], - transformResponse: (response) => { - if (!indexFields) { - return response.hits.map((hit) => { - return hit.map((item) => { - return { - ...item, - text: highlightMatch(query, item.text), - }; - }); - }); - } else { - const remappedHits = response.hits.map((hit) => { - return hit.map((item) => { - const newItem = { ...item }; - ["href", "section", "title", "text"].forEach((keyName) => { - const mappedName = indexFields[keyName]; - if ( - mappedName && - item[mappedName] !== undefined && - mappedName !== keyName - ) { - newItem[keyName] = item[mappedName]; - delete newItem[mappedName]; - } - }); - newItem.text = highlightMatch(query, newItem.text); - return newItem; - }); - }); - return remappedHits; - } - }, - }); -} - -function fuseSearch(query, fuse, fuseOptions) { - return fuse.search(query, fuseOptions).map((result) => { - const addParam = (url, name, value) => { - const anchorParts = url.split("#"); - const baseUrl = anchorParts[0]; - const sep = baseUrl.search("\\?") > 0 ? "&" : "?"; - anchorParts[0] = baseUrl + sep + name + "=" + value; - return anchorParts.join("#"); - }; - - return { - title: result.item.title, - section: result.item.section, - href: addParam(result.item.href, kQueryArg, query), - text: highlightMatch(query, result.item.text), - }; - }); -} diff --git a/_site_rendered/site_libs/react-17.0.0/AUTHORS b/_site_rendered/site_libs/react-17.0.0/AUTHORS deleted file mode 100644 index 44de798..0000000 --- a/_site_rendered/site_libs/react-17.0.0/AUTHORS +++ /dev/null @@ -1,696 +0,0 @@ -39 <8398a7@gmail.com> -Aaron Franks -Aaron Gelter -Adam Bloomston -Adam Krebs -Adam Mark -Adam Solove -Adam Timberlake -Adam Zapletal -Ahmad Wali Sidiqi -Alan Plum -Alan Souza -Alan deLevie -Alastair Hole -Alex -Alex Boatwright -Alex Boyd -Alex Dajani -Alex Lopatin -Alex Mykyta -Alex Pien -Alex Smith -Alex Zelenskiy -Alexander Shtuchkin -Alexander Solovyov -Alexander Tseung -Alexandre Gaudencio -Alexey Raspopov -Alexey Shamrin -Ali Ukani -Andre Z Sanchez -Andreas Savvides -Andreas Svensson -Andres Kalle -Andres Suarez -Andrew Clark -Andrew Cobby -Andrew Davey -Andrew Henderson -Andrew Kulakov -Andrew Rasmussen -Andrew Sokolov -Andrew Zich -Andrey Popp <8mayday@gmail.com> -Anthony van der Hoorn -Anto Aravinth -Antonio Ruberto -Antti Ahti -Anuj Tomar -AoDev -April Arcus -Areeb Malik -Aria Buckles -Aria Stewart -Arian Faurtosh -Artem Nezvigin -Austin Wright -Ayman Osman -Baraa Hamodi -Bartosz Kaszubowski -Basarat Ali Syed -Battaile Fauber -Beau Smith -Ben Alpert -Ben Anderson -Ben Brooks -Ben Foxall -Ben Halpern -Ben Jaffe -Ben Moss -Ben Newman -Ben Ripkens -Benjamin Keen -Benjamin Leiken -Benjamin Woodruff -Benjy Cui -Bill Blanchard -Bill Fisher -Blaine Hatab -Blaine Kasten -Bob Eagan -Bob Ralian -Bob Renwick -Bobby -Bojan Mihelac -Bradley Spaulding -Brandon Bloom -Brandon Tilley -Brenard Cubacub -Brian Cooke -Brian Holt -Brian Hsu -Brian Kim -Brian Kung -Brian Reavis -Brian Rue -Bruno Škvorc -Cam Song -Cam Spiers -Cameron Chamberlain -Cameron Matheson -Carter Chung -Cassus Adam Banko -Cat Chen -Cedric Sohrauer -Cesar William Alvarenga -Changsoon Bok -Charles Marsh -Chase Adams -Cheng Lou -Chitharanjan Das -Chris Bolin -Chris Grovers -Chris Ha -Chris Rebert -Chris Sciolla -Christian Alfoni -Christian Oliff -Christian Roman -Christoffer Sawicki -Christoph Pojer -Christopher Monsanto -Clay Allsopp -Connor McSheffrey -Conor Hastings -Cory House -Cotton Hou -Craig Akimoto -Cristovao Verstraeten -Damien Pellier -Dan Abramov -Dan Fox -Dan Schafer -Daniel Carlsson -Daniel Cousens -Daniel Friesen -Daniel Gasienica -Daniel Hejl -Daniel Hejl -Daniel Lo Nigro -Daniel Mané -Daniel Miladinov -Daniel Rodgers-Pryor -Daniel Schonfeld -Danny Ben-David -Darcy -Daryl Lau -Darío Javier Cravero -Dave Galbraith -David Baker -David Ed Mellum -David Goldberg -David Granado -David Greenspan -David Hellsing -David Hu -David Khourshid -David Mininger -David Neubauer -David Percy -Dean Shi -Denis Sokolov -Deniss Jacenko -Dennis Johnson -Devon Blandin -Devon Harvey -Dmitrii Abramov -Dmitriy Rozhkov -Dmitry Blues -Dmitry Mazuro -Domenico Matteo -Don Abrams -Dongsheng Liu -Dustan Kasten -Dustin Getz -Dylan Harrington -Eduardo Garcia -Edvin Erikson -Elaine Fang -Enguerran -Eric Clemmons -Eric Eastwood -Eric Florenzano -Eric O'Connell -Eric Schoffstall -Erik Harper -Espen Hovlandsdal -Evan Coonrod -Evan Vosberg -Fabio M. Costa -Federico Rampazzo -Felipe Oliveira Carvalho -Felix Gnass -Felix Kling -Fernando Correia -Frankie Bagnardi -François-Xavier Bois -Fred Zhao -Freddy Rangel -Fyodor Ivanishchev -G Scott Olson -G. Kay Lee -Gabe Levi -Gajus Kuizinas -Gareth Nicholson -Garren Smith -Gavin McQuistin -Geert Pasteels -Geert-Jan Brits -George A Sisco III -Georgii Dolzhykov -Gilbert -Glen Mailer -Grant Timmerman -Greg Hurrell -Greg Perkins -Greg Roodt -Gregory -Guangqiang Dong -Guido Bouman -Harry Hull -Harry Marr -Harry Moreno -Harshad Sabne -Hekar Khani -Hendrik Swanepoel -Henrik Nyh -Henry Wong -Henry Zhu -Hideo Matsumoto -Hou Chia -Huang-Wei Chang -Hugo Agbonon -Hugo Jobling -Hyeock Kwon -Héliton Nordt -Ian Obermiller -Ignacio Carbajo -Igor Scekic -Ilia Pavlenkov -Ilya Shuklin -Ilyá Belsky -Ingvar Stepanyan -Irae Carvalho -Isaac Salier-Hellendag -Iurii Kucherov -Ivan Kozik -Ivan Krechetov -Ivan Vergiliev -J. Andrew Brassington -J. Renée Beach -JD Isaacks -JJ Weber -JW -Jack Zhang -Jackie Wung -Jacob Gable -Jacob Greenleaf -Jae Hun Ro -Jaeho Lee -Jaime Mingo -Jake Worth -Jakub Malinowski -James -James Brantly -James Burnett -James Friend -James Ide -James Long -James Pearce -James Seppi -James South -James Wen -Jamie Wong -Jamis Charles -Jamison Dance -Jan Hancic -Jan Kassens -Jan Raasch -Jared Forsyth -Jason -Jason Bonta -Jason Ly -Jason Miller -Jason Quense -Jason Trill -Jason Webster -Jay Jaeho Lee -Jean Lauliac -Jed Watson -Jeff Barczewski -Jeff Carpenter -Jeff Chan -Jeff Hicken -Jeff Kolesky -Jeff Morrison -Jeff Welch -Jeffrey Lin -Jeremy Fairbank -Jesse Skinner -Jignesh Kakadiya -Jim OBrien -Jim Sproch -Jimmy Jea -Jing Chen -Jinwoo Oh -Jinxiu Lee -Jiyeon Seo -Jody McIntyre -Joe Critchley -Joe Stein -Joel Auterson -Johannes Baiter -Johannes Emerich -Johannes Lumpe -John Heroy -John Ryan -John Watson -John-David Dalton -Jon Beebe -Jon Chester -Jon Hester -Jon Madison -Jon Scott Clark -Jon Tewksbury -Jonas Enlund -Jonas Gebhardt -Jonathan Hsu -Jonathan Persson -Jordan Harband -Jordan Walke -Jorrit Schippers -Joseph Nudell -Joseph Savona -Josh Bassett -Josh Duck -Josh Perez -Josh Yudaken -Joshua Evans -Joshua Go -Joshua Goldberg -Joshua Ma -João Valente -Juan Serrano -Julen Ruiz Aizpuru -Julian Viereck -Julien Bordellier -Julio Lopez -Jun Wu -Juraj Dudak -Justas Brazauskas -Justin Jaffray -Justin Robison -Justin Woo -Kale -Kamron Batman -Karl Mikkelsen -Karpich Dmitry -Keito Uchiyama -Ken Powers -Kent C. Dodds -Kevin Cheng <09chengk@gmail.com> -Kevin Coughlin -Kevin Huang -Kevin Lau -Kevin Old -Kevin Robinson -Kewei Jiang -Kier Borromeo -KimCoding -Kirk Steven Hansen -Kit Randel -Kohei TAKATA -Koo Youngmin -Krystian Karczewski -Kunal Mehta -Kurt Ruppel -Kyle Kelley -Kyle Mathews -Laurence Rowe -Laurent Etiemble -Lee Byron -Lee Jaeyoung -Lei -Leland Richardson -Leon Fedotov -Leon Yip -Leonardo YongUk Kim -Levi Buzolic -Levi McCallum -Lily -Logan Allen -Lovisa Svallingson -Ludovico Fischer -Luigy Leon -Luke Horvat -MIKAMI Yoshiyuki -Maher Beg -Manas -Marcin K. -Marcin Kwiatkowski -Marcin Szczepanski -Mariano Desanze -Marjan -Mark Anderson -Mark Funk -Mark Hintz -Mark IJbema -Mark Murphy -Mark Richardson -Mark Rushakoff -Mark Sun -Marlon Landaverde -Marshall Roch -Martin Andert -Martin Hujer -Martin Jul -Martin Konicek -Martin Mihaylov -Masaki KOBAYASHI -Mathieu M-Gosselin -Mathieu Savy -Matias Singers -Matsunoki -Matt Brookes -Matt Dunn-Rankin -Matt Harrison -Matt Huggins -Matt Stow -Matt Zabriskie -Matthew Dapena-Tretter -Matthew Herbst -Matthew Hodgson -Matthew Johnston -Matthew King -Matthew Looi -Matthew Miner -Matthias Le Brun -Matti Nelimarkka -Mattijs Kneppers -Max F. Albrecht <1@178.is> -Max Heiber -Max Stoiber -Maxi Ferreira -Maxim Abramchuk -Merrick Christensen -Mert Kahyaoğlu -Michael Chan -Michael McDermott -Michael Randers-Pehrson -Michael Ridgway -Michael Warner -Michael Wiencek -Michael Ziwisky -Michal Srb -Michelle Todd -Mihai Parparita -Mike D Pilsbury -Mike Groseclose -Mike Nordick -Mikolaj Dadela -Miles Johnson -Minwe LUO -Miorel Palii -Morhaus -Moshe Kolodny -Mouad Debbar -Murad -Murray M. 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