From 7fa1dc9bfb0beedf867e0c33d50a2d55691af3e4 Mon Sep 17 00:00:00 2001 From: nrennie Date: Tue, 14 May 2024 17:16:56 +0100 Subject: [PATCH] add wb indicators plot --- 2024/2024-04-30/20240430.R | 201 +++++++++++++++++++++++++++++++++++ 2024/2024-04-30/20240430.gif | Bin 0 -> 1314117 bytes 2024/2024-04-30/20240430.png | Bin 0 -> 195501 bytes 2024/2024-04-30/README.md | 11 ++ 4 files changed, 212 insertions(+) create mode 100644 2024/2024-04-30/20240430.R create mode 100644 2024/2024-04-30/20240430.gif create mode 100644 2024/2024-04-30/20240430.png create mode 100644 2024/2024-04-30/README.md diff --git a/2024/2024-04-30/20240430.R b/2024/2024-04-30/20240430.R new file mode 100644 index 0000000..fc8dac3 --- /dev/null +++ b/2024/2024-04-30/20240430.R @@ -0,0 +1,201 @@ +# Load packages ----------------------------------------------------------- + +library(tidyverse) +library(showtext) +library(patchwork) +library(camcorder) +library(ggtext) +library(nrBrand) +library(glue) +library(geofacet) + + +# Load data --------------------------------------------------------------- + +tuesdata <- tidytuesdayR::tt_load("2024-04-30") +wwbi_data <- tuesdata$wwbi_data +wwbi_series <- tuesdata$wwbi_series +wwbi_country <- tuesdata$wwbi_country + + +# Load fonts -------------------------------------------------------------- + +font_add_google("Roboto", "roboto") +font_add_google("Roboto Slab", "robotoslab") +showtext_auto() + + +# Define colours and fonts------------------------------------------------- + +bg_col <- "#fafafa" +text_col <- "black" +highlight_col <- "#4EA699" +fem_col <- "#8D80AD" + +body_font <- "roboto" +title_font <- "robotoslab" + + +# Data wrangling ---------------------------------------------------------- + +choose_ind <- wwbi_series |> + filter(indicator_name %in% c( + "Females, as a share of public paid employees", + "Number of public paid employees" + )) + +choose_region <- wwbi_country |> + select(country_code, short_name, x2_alpha_code) |> + filter(x2_alpha_code %in% geofacet::europe_countries_grid1$code) + +plot_data <- wwbi_data |> + filter(indicator_code %in% choose_ind$indicator_code) |> + filter(country_code %in% choose_region$country_code) |> + group_by(country_code) |> + slice_max(year) |> + ungroup() |> + left_join(choose_region, by = "country_code") |> + select(x2_alpha_code, short_name, indicator_code, value) |> + pivot_wider(names_from = indicator_code, values_from = value) |> + mutate( + Males = 1 - BI.PWK.PUBS.FE.ZS + ) |> + rename(Females = BI.PWK.PUBS.FE.ZS) |> + pivot_longer( + cols = c(Males, Females), + names_to = "Gender", + values_to = "Share" + ) |> + mutate( + New_Gender = case_when( + is.na(Share) ~ "Missing", + TRUE ~ Gender + ), + Share = case_when( + is.na(Share) & Gender == "Females" ~ 1, + is.na(Share) & Gender == "Males" ~ NA, + TRUE ~ Share + ) + ) |> + filter(x2_alpha_code != "TR") + +new_grid <- europe_countries_grid1 |> + left_join(choose_region[,2:3], by = c("code" = "x2_alpha_code")) |> + as_tibble() |> + select(-name) |> + rename(name = short_name) |> + mutate(name = str_wrap(name, 10)) + + +# Start recording --------------------------------------------------------- + +gg_record( + dir = file.path("2024", "2024-04-30", "recording"), + device = "png", + width = 5, + height = 7.5, + 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 <- "Public sector employment in Europe" +st <- glue("The Worldwide Bureaucracy Indicators (WWBI) database is a unique + cross-national dataset on public sector employment and wages that + aims to fill an information gap. This infographic shows the share of **males** and + **females** in public paid employment, with the size of each + pie chart indicating the total number of public paid employees. Grey + pie charts indicate countries where the share of male and female employees + is unknown.") +cap <- paste0( + "**Data**: World Bank
**Graphic**:", social +) + + +# Plot -------------------------------------------------------------------- + +ggplot(plot_data) + + geom_arc_bar( + mapping = aes( + x0 = 0, y0 = 0, r0 = 0, r = BI.PWK.PUBS.NO, + amount = Share, + fill = New_Gender + ), + stat = "pie", + colour = NA + ) + + scale_fill_manual( + values = c( + "Males" = highlight_col, + "Females" = fem_col, + "Missing" = "grey50" + ) + ) + + facet_geo(~x2_alpha_code, grid = new_grid, label = "name") + + labs( + title = title, + subtitle = st, + caption = cap + ) + + coord_fixed(expand = FALSE) + + theme_void(base_size = 22, base_family = body_font) + + theme( + legend.position = "none", + plot.margin = margin(5, 5, 5, 5), + 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, + size = rel(2), + face = "bold", + family = title_font + ), + plot.subtitle = element_textbox_simple( + colour = text_col, + hjust = 0, + halign = 0, + margin = margin(b = 10, t = 5), + lineheight = 0.5, + family = body_font + ), + plot.caption = element_textbox_simple( + colour = text_col, + hjust = 0, + halign = 0, + margin = margin(b = 0, t = 0), + lineheight = 0.5, + family = body_font + ), + panel.spacing = unit(0.6, "lines"), + strip.text.x = element_text( + lineheight = 0.4, + vjust = 1, + size = rel(0.8), + margin = margin(l = 5, r = 5) + ) + ) + +record_polaroid() + + +# Save gif ---------------------------------------------------------------- + +gg_playback( + name = file.path("2024", "2024-04-30", paste0("20240430", ".gif")), + first_image_duration = 4, + last_image_duration = 20, + frame_duration = .25, + background = bg_col +) diff --git a/2024/2024-04-30/20240430.gif b/2024/2024-04-30/20240430.gif new file mode 100644 index 0000000000000000000000000000000000000000..f01eb7ab41b9049b1cd1b90fdd788ac03346c333 GIT binary patch literal 1314117 zcmXVXcUTkI|Mi`jBr_p}2?Pi!5Q-9t7ffDIKjDk>`KOhOY;qq2&K z8W1%qYE*P_b#(&BVvluM7d2S1Zmf&0UwQL;o;QEq=VqQsKINXzIp+=?Hbj+}t%bEP z3I6{lpqDc$ef+powI)3}Qi(vW<$xdP>^ZX{m&}_30=_aBGh9m%|F`@9zE}F~+qbV@ zziuFp{P*8~qxSFk{{8#fwQK+PzyJ00^i-^E*s%7(`r1ruzE&ZQHh;K7G2fva+&j~_qo zbUHtL_)uJ2yn6NOD_5=*6cnsnxpKjR1^M~;|NHO1w{PEecXz*g_wL7!AHBW3@87?# zuC9Li^y%x@uiw0R^YZ0OyXdiAfr{@T5Jx7lnyc<^9VRn^?Nb5EW;xo_XT zj*gB!d-gnk{=BiV@#xW`$BrHA>gsy(e%#*PuGMO1&6;Jm+i%^v)!EsZnVI?E!Gr13 zr~mQC9}^}_m@{Wi#hQlQThDxW|H;$S^Yu$-_w%=!1Jyx6L7zW;*;{q)+kf9eLP9he z&5n(y|NYWqG9G*P=KY9$+j%_R)V;eSA|lq6H010y7ne6|DLL-rpMLs@ z&1P?3->B2+zJB}m=HmyerES8#ngyp0PdifkOWBDl7yqid+-$!7$Mt7jEx+F$v%mVl zt_v!a>fEX8kKesHQs0u5l{N9uZu-p4&prR1K6-iSnPV#}EwfJ?_@nt=baeEwyY}?- z^pl6%hYcH+oSa-i9(m?`Cy_`FnQhnF@87%Su-v*r5JY>|!+AUF|Ly5nb?)S;j@xIB zUo9_c`0Le+&21NM-*~uo!@kz< z>(_2PbnNWq4F^t>n-5o?y0EdPvH9w~Ykxl~JalYb<*}wVJJt&zOqyXe+l-iJSZ2Gm zwxtvg8eWreyzb(9QOw-V_Tzj1*d$Lamkv8oe`%{?+@Z`%C-z<0uAF|kX4uL7*LJFw zyz0Dk^1zKfgwahlywP%VZ^qWJX_p%h-aeq&JABvhQ-|&z)}EaE;PR=%e;(7dl*>k( zZuskD?(IXG+dB zOhF@dk34hY*_Eo8c@M9iIr-uSf&dY*lFX&*Mj#mjb#Z@!eN*?`WABXZ{(D4rZ^!Td z5zwEQfXfzIhTA+^|4{*D*C@zVNtu%bNOJQ`2h$I9ygr9V-hJ6 z(X5UVw%YWfb~s9IE|Uhw%ZCP%WnH_~d`;~zq!^E-y^3qfP&{9idPNSE#{v&o(aqF( zF^e=Kk;Wdv6P`U@2XBUXR;up^O}iZ)p{skQ$lQ1flU`V@m^Ca-ORbact1+hr^D+Wc z7w)x929e4&v+uk2)osE21_O=3ozwJu>hf^6S34ITT{<)uRPgn=e|Z&nwG?U&6$ByO;g;H)yKs zI~)lI$HmL}Jvd|kuPc|&$<^Dx{v->zV{Z@nuh@;)&x`)gc=T_>szY^X)i!YhbK}9u z04;leNwE;TZ}Ht5e5+U@(nQ(3vYwuekn=E@$@gYFwuo0AB3a&9O%!WRGD)V&#+$mt zdFiB%kY&wKXM>e_dZTA*RXl;EBrh^>Vi*QwdxBmmmWC!r4fVF}FheX|mDRvWYi>*R zQCS@Zgio3&;j+eTz{{^xUgV{G($IL%0zt7)LVm3STGE(Q?JY`vZ<9kRdGjr?MUAq? z=IU5p`h@@G-x)V){$j7}&R%_rgmYEN>|Cw-T`fck9689vd|l_LFIP%SRmdyVS zNHtp^kjCVxVp`lG5s`r{eA6%#%zTra0VREWbCSc1FqgEaFvb#sOr4zJC+k!W@#=fQ zZ1Ys~)V`a~G&v)=k8Ztx$6FU`9_BSmm-9ayfbYXT*PghCsVpe!eP0+u?qW!o32X zSzX1_6puA^ukmu&lwv!n3pN(nT(2ylOR{f^89oy!I-5)7(zpl3InuQkH|H4gQ$}R8qM$Mtw0Xt$PR7{LDiKGunZgW zO^mOLw=P;yGw0#i>l!$^hBg$Ksm~^*ar9inD)3*4q)6Y)15{ywp7tHmcs^kW%+Q#! 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