GERD By Sector Of Performance And Socioeconomic Objectives (NABS 2007)

Eurostat code: rd_e_gerdsobj07 · (2003 - 2023)

@eurostat.rd_e_gerdsobj07

Table List

2 tables(1.1 MB)

GERD By Sector Of Performance And Socioeconomic Objectives (NABS 2007) - Raw

GERD By Sector Of Performance And Socioeconomic Objectives (NABS 2007) - Unpivoted

GERD By Sector Of Performance And Socioeconomic Objectives (NABS 2007) - Unpivoted

@eurostat.rd_e_gerdsobj07.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.

520.06 KB
112748 rows
7 columns

freq Freq	nabs07 Nabs07	sectperf Sectperf	unit Unit	geo Geo	time_period Time Period	value Value
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	Czechia	2003	0.077
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	Estonia	2003
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	Spain	2003	0.947
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	Croatia	2003	0.184
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	Hungary	2003	0.057
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	Iceland	2003	3.365
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	South Korea	2003	0.111
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	Norway	2003	1.051
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	Portugal	2003	0.105
Annual	Exploration and exploitation of the earth	Business enterprise sector	Euro per inhabitant	Romania	2003	0.08


CREATE TABLE tidy (
  "freq" VARCHAR,
  "nabs07" VARCHAR,
  "sectperf" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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