Baselight

Mean Annual Holidays By Sex, Age And Economic Activity (2022)

Eurostat code: earn_ses22_41 ยท (2022 - 2022)

@eurostat.earn_ses22_41

Mean Annual Holidays By Sex, Age And Economic Activity (2022) - Unpivoted
@eurostat.earn_ses22_41.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.

  • 24.51 KB
  • 17476 rows
  • 10 columns
freq

Freq

sex

Sex

indic_se

Indic Se

age

Age

sizeclas

Sizeclas

nace_r2

Nace R2

unit

Unit

geo

Geo

time_period

Time Period

value

Value

AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberAlbania202220
AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberAustria202221
AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberBosnia and Herzegovina202226
AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberBelgium202219
AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberBulgaria202228
AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberSwitzerland202218
AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberCzechia202228
AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberGermany202223
AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberDenmark202224
AnnualFemalesAnnual holidaysTotal10 employees or moreMining and quarryingNumberEuro area - 19 countries (2015-2022)202224

CREATE TABLE tidy (
  "freq" VARCHAR,
  "sex" VARCHAR,
  "indic_se" VARCHAR,
  "age" VARCHAR,
  "sizeclas" VARCHAR,
  "nace_r2" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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