Jeena@jemmy.jeena.net to Europe@feddit.deEnglish · 1 year agoEU Budget - Which Countries are EU Contributors and Beneficiaries?jemmy.jeena.netimagemessage-square45fedilinkarrow-up1227arrow-down118file-text
arrow-up1209arrow-down1imageEU Budget - Which Countries are EU Contributors and Beneficiaries?jemmy.jeena.netJeena@jemmy.jeena.net to Europe@feddit.deEnglish · 1 year agomessage-square45fedilinkfile-text
minus-squaretal@lemmy.todaylinkfedilinkEnglisharrow-up31·edit-21 year agostatistia-netcontrib.csv country,netcontrib DE,25572 FR,12380 NL,6929 IT,3337 SE,2826 DK,1766 AT,1540 FI,1109 IE,703 MT,-14 CY,-172 SI,-386 EE,-729 LT,-860 SK,-1398 LV,-1544 BG,-1727 HR,-1746 ES,-1946 LU,-2020 CZ,-2853 BE,-2950 PT,-3132 RO,-4096 HU,-4206 GR,-4278 PL,-11910 eu-contribution-per-capita.r if (!require("pacman")) install.packages("pacman") pacman::p_load( countrycode, dplyr, ggdark, ggplot2, r2country ) abs <- read.csv("statista-netcontrib.csv",header = TRUE) abs2 <- cbind(abs,name = countrycode(abs$country,"iso2c","country.name")) df <- inner_join(country_names, abs2) df2 <- inner_join(country_population, df) df2$percap <- df2$netcontrib/df2$population2023*1000000 df3 <- arrange(df2,percap) ggplot(df3, aes(x = percap, y = reorder(name, percap))) + geom_bar(stat = "identity") + dark_theme_gray() + ylab("Country") + xlab("Euros per capita") + scale_x_continuous(breaks = scales::pretty_breaks(n = 20)) + geom_text(aes(label = percap)) ggsave("euros-percap.png") Full size image Sorry about the broken escaping of the angle brackets (“<” is “<”) in the source; Lemmy is, regrettably, broken on that at the moment. EDIT: Fixed Latvia country code error. EDIT2: And Austria country code error.
minus-squaretal@lemmy.todaylinkfedilinkEnglisharrow-up12arrow-down1·edit-21 year agoAlso, a Markdown table rendition: eu-contribution-per-capita-markdown.r if (!require("pacman")) install.packages("pacman") pacman::p_load( countrycode, dplyr, r2country, simplermarkdown ) abs <- read.csv("statista-netcontrib.csv",header = TRUE) abs2 <- cbind(abs,name = countrycode(abs$country,"iso2c","country.name")) df <- inner_join(country_names, abs2) df2 <- inner_join(country_population, df) df2$percap <- df2$netcontrib/df2$population2023*1000000 df3 <- arrange(df2,-percap) md_table(df3) name percap Netherlands 386.91124 Germany 302.86855 Denmark 297.09908 Sweden 267.98643 Finland 199.90810 France 181.71677 Austria 168.68113 Ireland 136.52768 Italy 56.76638 Malta -26.94577 Spain -40.25217 Slovenia -182.27546 Cyprus -187.34343 Romania -214.99549 Belgium -250.73894 Slovakia -257.60767 Bulgaria -267.84703 Portugal -299.21568 Lithuania -300.05251 Poland -315.86485 Greece -408.10926 Hungary -438.25808 Croatia -449.01298 Estonia -533.72029 Latvia -819.79399 Luxembourg -3056.85909
minus-squareWhelks_chance@lemmy.worldlinkfedilinkEnglisharrow-up3·1 year agoThis is very clever. Is Lemmy actually running the code to achieve this, or did you paste it just so other people can replicate the process?
minus-squaretal@lemmy.todaylinkfedilinkEnglisharrow-up5·1 year agoNah, I just pasted it so that other people can reproduce.
statistia-netcontrib.csv
eu-contribution-per-capita.r
Full size image
Sorry about the broken escaping of the angle brackets (“<” is “<”) in the source; Lemmy is, regrettably, broken on that at the moment.
EDIT: Fixed Latvia country code error.
EDIT2: And Austria country code error.
Also, a Markdown table rendition:
eu-contribution-per-capita-markdown.r
This is very clever. Is Lemmy actually running the code to achieve this, or did you paste it just so other people can replicate the process?
Nah, I just pasted it so that other people can reproduce.