Baselight

Number Of Employees Having Annualised Working Hours By Sex, Age, Occupation And Economic Activity

Eurostat code: lfso_04anwkisna ยท (2004 - 2004)

@eurostat.lfso_04anwkisna

Number Of Employees Having Annualised Working Hours By Sex, Age, Occupation And Economic Activity - Unpivoted
@eurostat.lfso_04anwkisna.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.

  • 99.41 KB
  • 26843 rows
  • 9 columns
freq

Freq

sex

Sex

age

Age

nace_r1

Nace R1

ynlfs

Ynlfs

isco88

Isco88

geo

Geo

time_period

Time Period

value

Value

AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractSkilled manual workersSwitzerland20043.3
AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractSkilled manual workersCzechia20040.8
AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractSkilled manual workersNetherlands20046.6
AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractElementary occupationsSpain200413.2
AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractElementary occupationsNetherlands20044.2
AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractTotalSwitzerland20043.9
AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractTotalCzechia20041.9
AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractTotalDenmark20044.3
AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractTotalSpain200416.1
AnnualFemalesFrom 15 to 24 yearsAgriculture; fishingPerson does not have an annualised hours contractTotalEuropean Union - 15 countries (1995-2004)200456.5

CREATE TABLE tidy (
  "freq" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "nace_r1" VARCHAR,
  "ynlfs" VARCHAR,
  "isco88" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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