Monetary Value Of E-commerce Sales By NACE Rev. 2 Activity

Eurostat code: isoc_ec_evaln2m · (2017 - 2024)

@eurostat.isoc_ec_evaln2m

Table List

2 tables(535.24 KB)

Monetary Value Of E-commerce Sales By NACE Rev. 2 Activity - Raw

Monetary Value Of E-commerce Sales By NACE Rev. 2 Activity - Unpivoted

Monetary Value Of E-commerce Sales By NACE Rev. 2 Activity - Unpivoted

@eurostat.isoc_ec_evaln2m.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.

257.02 KB
42584 rows
8 columns

freq Freq	size_emp Size Emp	nace_r2 Nace R2	indic_is Indic Is	unit Unit	geo Geo	time_period Time Period	value Value
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	Austria	2017	4205.87
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	Czechia	2017	10491.86
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	Denmark	2017	1758.54
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	Estonia	2017	151.92
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	Greece	2017	376.15
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	Spain	2017	18746.21
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	France	2017	20090.85
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	Croatia	2017	603.1
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	Hungary	2017	5438.99
Annual	10 persons employed or more	Manufacturing	Enterprises' turnover from web sales	Million euro	Lithuania	2017	710


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

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