Baselight

Big Data Analysis By Size Class Of Enterprise

Eurostat code: isoc_eb_bd ยท (2016 - 2020)

@eurostat.isoc_eb_bd

Big Data Analysis By Size Class Of Enterprise - Raw
@eurostat.isoc_eb_bd.raw

This table contains the original data as downloaded from the Eurostat API, with labels mapped where available.

  • 68.82 KB
  • 11804 rows
  • 9 columns
freq

Freq

size_emp

Size Emp

nace_r2

Nace R2

indic_is

Indic Is

unit

Unit

geo

Geo

n_2016

2016

n_2018

2018

n_2020

2020

AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (until 2018)Percentage of enterprisesSpain2.05
AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (until 2018)Percentage of enterprisesPortugal5.21
AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (until 2018)Percentage of enterprisesSweden4.84
AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (until 2018)Percentage of the enterprises which use a computerSpain2.65
AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (until 2018)Percentage of the enterprises which use a computerPortugal5.89
AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (until 2018)Percentage of the enterprises which use a computerSweden5.46
AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (excluding other sources) (until 2018)Percentage of enterprisesSpain1.78
AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (excluding other sources) (until 2018)Percentage of enterprisesPortugal4.71
AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (excluding other sources) (until 2018)Percentage of enterprisesSweden4.36
AnnualFrom 0 to 9 persons employedAll activities (except agriculture, forestry and fishing, and mining and quarrying), without financial sectorEnterprises analysing big data from any data source (excluding other sources) (until 2018)Percentage of enterprises analysing big dataSpain86.9

CREATE TABLE raw (
  "freq" VARCHAR,
  "size_emp" VARCHAR,
  "nace_r2" VARCHAR,
  "indic_is" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2016" DOUBLE,
  "n_2018" DOUBLE,
  "n_2020" DOUBLE
);

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