Baselight

Foreign Value Added In Exports By Country Of Origin And Importing Country - EU Perspective (FIGARO Application)

Eurostat code: naio_10_fgfoie ยท (2010 - 2022)

@eurostat.naio_10_fgfoie

Foreign Value Added In Exports By Country Of Origin And Importing Country - EU Perspective (FIGARO Application) - Unpivoted
@eurostat.naio_10_fgfoie.tidy

This table contains the same data as the raw table, but in a tidy format: time period values are unpivoted into rows under a single time_period column, making the dataset easier to analyze and visualize.

  • 3.33 MB
  • 395200 rows
  • 8 columns
freq

Freq

nace_r2

Nace R2

c_orig

C Orig

c_imp

C Imp

unit

Unit

geo

Geo

time_period

Time Period

value

Value

AnnualAgriculture, forestry and fishingArgentinaArgentinaThousand euroEuropean Union - 27 countries (from 2020)201044.25
AnnualAgriculture, forestry and fishingArgentinaAustraliaThousand euroEuropean Union - 27 countries (from 2020)2010163.829
AnnualAgriculture, forestry and fishingArgentinaBrazilThousand euroEuropean Union - 27 countries (from 2020)2010259.679
AnnualAgriculture, forestry and fishingArgentinaCanadaThousand euroEuropean Union - 27 countries (from 2020)2010291.456
AnnualAgriculture, forestry and fishingArgentinaSwitzerlandThousand euroEuropean Union - 27 countries (from 2020)20101789.673
AnnualAgriculture, forestry and fishingArgentinaChinaThousand euroEuropean Union - 27 countries (from 2020)20101054.896
AnnualAgriculture, forestry and fishingArgentinaIndonesiaThousand euroEuropean Union - 27 countries (from 2020)201070.59
AnnualAgriculture, forestry and fishingArgentinaIndiaThousand euroEuropean Union - 27 countries (from 2020)201093.912
AnnualAgriculture, forestry and fishingArgentinaJapanThousand euroEuropean Union - 27 countries (from 2020)2010554.803
AnnualAgriculture, forestry and fishingArgentinaSouth KoreaThousand euroEuropean Union - 27 countries (from 2020)2010336.839

CREATE TABLE tidy (
  "freq" VARCHAR,
  "nace_r2" VARCHAR,
  "c_orig" VARCHAR,
  "c_imp" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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