Annual Enterprise Statistics By Type Of Ownership In Industry And Construction (NACE Rev. 1.1, C-F) (1995-2001)

Eurostat code: sbs_na_2c_own · (1995 - 2001)

@eurostat.sbs_na_2c_own

Table List

2 tables(865.15 KB)

Annual Enterprise Statistics By Type Of Ownership In Industry And Construction (NACE Rev. 1.1, C-F) (1995-2001) - Raw

Annual Enterprise Statistics By Type Of Ownership In Industry And Construction (NACE Rev. 1.1, C-F) (1995-2001) - Unpivoted

Annual Enterprise Statistics By Type Of Ownership In Industry And Construction (NACE Rev. 1.1, C-F) (1995-2001) - Unpivoted

@eurostat.sbs_na_2c_own.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.

414.36 KB
160644 rows
7 columns

freq Freq	owner Owner	nace_r1 Nace R1	indic_sb Indic Sb	geo Geo	time_period Time Period	value Value
Annual	Private ownership	Mining and quarrying	Enterprises - number	Austria	1995	299
Annual	Private ownership	Mining and quarrying	Enterprises - number	Finland	1995	1379
Annual	Private ownership	Mining and quarrying	Enterprises - number	Luxembourg	1995	7
Annual	Private ownership	Mining and quarrying	Turnover or gross premiums written - million euro	Austria	1995	772.6
Annual	Private ownership	Mining and quarrying	Turnover or gross premiums written - million euro	Spain	1995	2750.6
Annual	Private ownership	Mining and quarrying	Turnover or gross premiums written - million euro	Finland	1995	530.3
Annual	Private ownership	Mining and quarrying	Turnover or gross premiums written - million euro	Luxembourg	1995	44.9
Annual	Private ownership	Mining and quarrying	Production value - million euro	Austria	1995	746.8
Annual	Private ownership	Mining and quarrying	Production value - million euro	Spain	1995	2792.6
Annual	Private ownership	Mining and quarrying	Production value - million euro	Finland	1995	525.4


CREATE TABLE tidy (
  "freq" VARCHAR,
  "owner" VARCHAR,
  "nace_r1" VARCHAR,
  "indic_sb" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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