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210

EU Budget - Which Countries are EU Contributors and Beneficiaries? (jemmy.jeena.net)

submitted 10 months ago by [email protected] to c/[email protected]

55 comments fedilink hide all child comments

source: https://www.statista.com/chart/18794/net-contributors-to-eu-budget/

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[–] [email protected] 32 points 10 months ago* (last edited 10 months ago) (2 children)

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 &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)

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.

[–] [email protected] 13 points 10 months ago* (last edited 10 months ago) (1 children)

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

[–] [email protected] 3 points 10 months ago (1 children)

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?

[–] [email protected] 5 points 10 months ago

Nah, I just pasted it so that other people can reproduce.

[–] [email protected] 11 points 10 months ago* (last edited 10 months ago) (1 children)

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

[–] [email protected] 6 points 10 months ago* (last edited 10 months ago) (1 children)

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.

[–] [email protected] 1 points 10 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