• tal@lemmy.todayEnglish
    27·
    11 months ago

    statistia-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 “&lt;”) in the source; Lemmy is, regrettably, broken on that at the moment.

    EDIT: Fixed Latvia country code error.

    EDIT2: And Austria country code error.

    • interolivary@beehaw.orgEnglish
      10·
      11 months ago

      statistia-netcontrib.csv is using some weird country code that isn’t ISO 3166-2, because it’s got what I assume to be Latvia with the code LA which is actually Laos, and that’s reflected on your chart too – I was initially a bit puzzled as to why Laos was listed as being in the EU. At a quick glance it seems to be the only weird one though

      • tal@lemmy.todayEnglish
        6·
        11 months ago

        That’s just me not knowing my country codes. Over here, “LA” is generally Los Angeles. I’ll fix it; thanks.

        EDIT: Also, Austria appears to be “AT” rather than “AU”. One more fix.

        • interolivary@beehaw.orgEnglish
          1·
          11 months ago

          Ah I thought you pulled that from some Eurostat database and they were using wonky country codes. The AU / AT mixup is a classic one, and since the spelling of Austria and Australia is so close it’s easy to miss that mistake – just like I did

    • tal@lemmy.todayEnglish
      9·
      11 months ago

      Also, a Markdown table rendition:

      eu-contribution-per-capita-markdown.r

      if (!require("pacman")) install.packages("pacman")
pacman::p_load(
            countrycode,
            dplyr,
            r2country,
            simplermarkdown
        )

abs &lt;- read.csv("statista-netcontrib.csv",header = TRUE)
abs2 &lt;- cbind(abs,name = countrycode(abs$country,"iso2c","country.name")) 

df &lt;- inner_join(country_names, abs2)
df2 &lt;- inner_join(country_population, df)
df2$percap &lt;- df2$netcontrib/df2$population2023*1000000

df3 &lt;- 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
      • Whelks_chance@lemmy.worldEnglish
        2·
        11 months ago

        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?