From 308bf95576cece9ec7f80a2b04f0320d9db8b6bb Mon Sep 17 00:00:00 2001 From: nrennie Date: Sun, 31 Mar 2024 20:43:23 +0100 Subject: [PATCH] add 2019 plot --- 2019/2019-03-05/20190305.R | 181 +++++++++++++++++++++++++++++++++++ 2019/2019-03-05/20190305.gif | Bin 0 -> 1516519 bytes 2019/2019-03-05/20190305.png | Bin 0 -> 211319 bytes 2019/2019-03-05/README.md | 11 +++ 4 files changed, 192 insertions(+) create mode 100644 2019/2019-03-05/20190305.R create mode 100644 2019/2019-03-05/20190305.gif create mode 100644 2019/2019-03-05/20190305.png create mode 100644 2019/2019-03-05/README.md diff --git a/2019/2019-03-05/20190305.R b/2019/2019-03-05/20190305.R new file mode 100644 index 0000000..5416869 --- /dev/null +++ b/2019/2019-03-05/20190305.R @@ -0,0 +1,181 @@ +# Load packages ----------------------------------------------------------- + +library(tidyverse) +library(showtext) +library(camcorder) +library(ggtext) +library(nrBrand) +library(glue) +library(scales) + + +# Load data --------------------------------------------------------------- + +jobs_gender <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-03-05/jobs_gender.csv") + + +# Load fonts -------------------------------------------------------------- + +font_add_google("Roboto", "roboto") +font_add_google("Roboto Slab", "roboto_slab") +showtext_auto() + + +# Define colours and fonts------------------------------------------------- + +bg_col <- "grey95" +text_col <- "black" +highlight_col <- "#93032E" + +body_font <- "roboto" +title_font <- "roboto_slab" + + +# Data wrangling ---------------------------------------------------------- + +set.seed(123) +plot_data <- jobs_gender |> + filter(year == 2016) |> + select(occupation, major_category, total_earnings_male, total_earnings_female) |> + drop_na() |> + group_by(major_category) |> + mutate( + min_cat = min(total_earnings_female), + max_cat = max(total_earnings_female) + ) |> + slice_sample(n = 1) |> + ungroup() |> + mutate( + label = glue("{str_to_sentence(occupation)} ({major_category})") + ) |> + mutate(label = reorder(label, -total_earnings_female)) + + +# Start recording --------------------------------------------------------- + +gg_record( + dir = file.path("2024", "recording"), + device = "png", + width = 7.5, + height = 5.5, + units = "in", + dpi = 300 +) + + +# Define text ------------------------------------------------------------- + +social <- nrBrand::social_caption( + bg_colour = bg_col, + icon_colour = highlight_col, + font_colour = text_col, + font_family = body_font +) +title <- "The Gender Pay Gap" +st <- "The gender pay gap is the gap between what men and women are paid. Most +commonly, it refers to the median annual pay of all women who work full time +and year-round, compared to the pay of a similar cohort of men. This chart shows +the median annual income of female employess for a random sample of 8 occupations - +one from each major occupation category. The black line shows the median annual +income of males in the same occupation. The background bars indicate the minimum and maximum +median female incomes for other occupations in the same major category." +cap <- paste0( + "**Data**: Bureau of Labor Statistics (2016)
**Graphic**:", social +) + + +# Plot -------------------------------------------------------------------- + +ggplot(plot_data) + + geom_col( + mapping = aes(x = max_cat, y = "1"), + fill = alpha(highlight_col, 0.3), + width = 1 + ) + + geom_col( + mapping = aes(x = min_cat, y = 1), + fill = alpha(highlight_col, 0.3), + width = 1 + ) + + geom_col( + mapping = aes(x = total_earnings_female, y = 1), + width = 0.35, + fill = highlight_col + ) + + geom_linerange( + aes( + x = total_earnings_male, + ymin = 1 - 0.3, + ymax = 1 + 0.3 + ), + linewidth = 1.5, + colour = text_col + ) + + facet_wrap(~label, + ncol = 2, strip.position = "left", + labeller = labeller(label = label_wrap_gen(28)) + ) + + scale_x_continuous(labels = comma) + + labs( + title = title, subtitle = st, caption = cap, + x = "Median annual income in 2016 ($)", y = "" + ) + + theme_minimal(base_size = 24, base_family = body_font) + + theme( + plot.margin = margin(5, 15, 5, 10), + plot.background = element_rect(fill = bg_col, colour = bg_col), + panel.background = element_rect(fill = bg_col, colour = bg_col), + plot.title = element_textbox_simple( + colour = text_col, + hjust = 0, + halign = 0, + margin = margin(b = 10, t = 10), + lineheight = 0.5, + family = title_font, + face = "bold", + size = rel(2) + ), + plot.subtitle = element_textbox_simple( + colour = text_col, + hjust = 0, + halign = 0, + margin = margin(b = 10, t = 0), + lineheight = 0.5, + family = body_font + ), + plot.caption = element_textbox_simple( + colour = text_col, + hjust = 0, + halign = 0, + margin = margin(b = 5, t = 10), + lineheight = 0.5, + family = body_font + ), + axis.text.y = element_blank(), + strip.text.y.left = element_text( + hjust = 1, + angle = 0, + lineheight = 0.4, + margin = margin(r = 0, l = 5) + ), + panel.spacing.y = unit(0.4, "lines"), + plot.title.position = "plot", + plot.caption.position = "plot", + panel.grid.major.x = element_line( + linewidth = 0.5, + colour = alpha(text_col, 0.1) + ), + panel.grid.major.y = 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pbYl4>D`NiZ0{Q=!{LkI72|>nigy?FLOgS-}dkswu^63ue{|zllGJ^mB literal 0 HcmV?d00001 diff --git a/2019/2019-03-05/README.md b/2019/2019-03-05/README.md new file mode 100644 index 0000000..0b027d4 --- /dev/null +++ b/2019/2019-03-05/README.md @@ -0,0 +1,11 @@ +

    Women in the Workforce

    + +

    + +

    + +The making of this visualisation was also recorded using the {camcorder} package. + +

    + +