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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -1,5 +1,6 @@ library(ggplot2) library(hrbrthemes) library(janitor) read.csv(text='"Party","Votes in all of the U.K.","Votes only in Scotland" "Labour",33.7,35.27801359 -
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,118 @@ library(ggplot2) library(hrbrthemes) read.csv(text='"Party","Votes in all of the U.K.","Votes only in Scotland" "Labour",33.7,35.27801359 "Conservative",23.7,12.72746096 "Reform UK",14.3,6.956199453 "Liberal\nDemocrats",12.2,9.699645107 "Greens",6.7,3.838190168 "Scottish\nNational\nParty",2.5,30.0130445 "Others",6.8,1.487446217 ', header=TRUE) |> janitor::clean_names() |> transform( votes_in_all_of_the_u_k = votes_in_all_of_the_u_k/100, votes_only_in_scotland = votes_only_in_scotland/100, party = factor(party, party) ) -> xdf c( "Labour" = "#dc2c2b", "Conservative" = "#013b83", "Reform UK" = "#1888a0", "Liberal\nDemocrats" = "#b15501", "Greens" = "#337f27", "Scottish\nNational\nParty" = "#cc9800", "Others" = "#a2a2a2" ) -> party_cols ggplot() + geom_col( data = xdf, aes(party, votes_only_in_scotland, fill = party, alpha = "Votes only in Scotland"), position = position_nudge(-0.125), width = 0.5 ) + geom_col( data = xdf, aes(party, votes_in_all_of_the_u_k, fill = party, alpha = "Votes in all of the U.K."), position = position_nudge(0.125), width = 0.5 ) + geom_text( data = xdf, aes(party, votes_in_all_of_the_u_k + 0.015, label = scales::percent(votes_in_all_of_the_u_k, 0.1)), position = position_nudge(0.125), family = font_gs, size = 3, color = "black", fontface = "bold" ) + geom_text( data = xdf |> subset(party %in% c("Labour", "Scottish\nNational\nParty")), aes(party, votes_only_in_scotland + 0.015, label = scales::percent(votes_only_in_scotland, 0.1)), position = position_nudge(-0.125), family = font_gs, size = 3 ) + geom_text( data = data.frame( x = "Scottish\nNational\nParty", y = 0.3, label = "\n← 30% of Scots\nvoted for the SNP,\nleading to 2.5% total\nU.K. votes." ), aes( x, y, label = label ), family = font_gs, size = 3, hjust = 0, vjust = "top", lineheight = 0.975, position = position_nudge(0.18) ) + scale_alpha_manual( name = NULL, values = c( "Votes only in Scotland" = 1/2, "Votes in all of the U.K." = 1 ) ) + scale_fill_manual( values = party_cols, ) + scale_y_continuous( labels = scales::percent_format(), breaks = c(0.1, 0.2, 0.3), expand = c(0, 0, 0, 0), limit = c(0, 0.4) ) + guides( alpha = guide_legend( reverse = TRUE, override.aes = list( fill = "black" ), theme = theme( legend.direction = "horizontal", legend.key.width = unit(14, "pt"), legend.key.height = unit(14, "pt") ) ), fill = "none" ) + labs( x = NULL, y = NULL, title = "U.K. election results 2024" ) + theme_ipsum_gs(grid="Y") + theme( axis.line.x.bottom = element_line(color = "black"), axis.text.x.bottom = element_text(margin = margin(t = 5)), legend.justification = "left", legend.position = "top", legend.location = "plot", legend.margin = margin(l = 0), plot.title.position = "plot" )