Added bar chart for comparison between countries.
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@ -48,8 +48,11 @@ SI,EUR,4576151396.24,603377015.25,0.0
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SK,EUR,12295960193.92,20697057515.74,0.0
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UK,GBP,11028613316.0,5414125414.9,2821099889.98" />
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Quick observations:
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- The Czech Republic has the EU cofinancing amount of CZK 2,731,165,279,234 which is approximately EUR 115 billions.
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- Poland has the EU cofinancing amount of PLN 302,958,765,476 which is approximately EUR 67 billions.
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- Other countries that use local currencies do not have significant amounts when comparing to above two nations.
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So let's convert all currencies to ~EUR but only include 'eu_cofinancing_amount' values as we will use it for comparison:
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@ -81,5 +84,94 @@ RO,19970864938.12
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SE,0.0
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SI,4576151396.24
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SK,12295960193.92
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UK,12829255012.10
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" />
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UK,12829255012.10" />
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With this data table we can easily see top countries by funding. Let's build a quick visualization to make it even more obvious:
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<Vega
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data={{
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table: [
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{
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x: "LU",
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y: 30852529.89
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},
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{
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x: "DK",
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y: 492017672
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},
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{
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x: "BE",
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y: 858388537.42
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},
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{
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x: "DE",
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y: 912803359.21
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},
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{
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x: "FI",
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y: 2858282488
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},
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{
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x: "SI",
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y: 4576151396.24
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},
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{
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x: "EE",
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y: 5419641772
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},
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{
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x: "LT",
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y: 6750675528.74
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},
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{
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x: "SK",
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y: 12295960193.92
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},
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{
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x: "UK",
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y: 12829255012.1
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},
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{
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x: "FR",
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y: 15027864492.94
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},
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{
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x: "RO",
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y: 19970864938.12
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},
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{
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x: "PT",
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y: 23800568868.02
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},
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{
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x: "IT",
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y: 34860253672.98
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},
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{
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x: "PL",
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y: 67537688711
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},
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{
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x: "CZ",
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y: 115591108113
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}
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]
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}}
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spec={{
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$schema: 'https://vega.github.io/schema/vega-lite/v4.json',
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data: {
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name: 'table'
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},
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encoding: {
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x: {
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field: 'x',
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type: 'ordinal'
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},
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y: {
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field: 'y',
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type: 'quantitative'
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}
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},
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mark: 'bar'
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}}
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/>
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