Baselight

Persons In Employment By Level Of Difficulty To Take One Or Two Hours Off At Short Notice, Economic Activity (NACE Rev. 2) And Occupation

Eurostat code: lfso_19fxwt06 ยท (2019 - 2019)

@eurostat.lfso_19fxwt06

Persons In Employment By Level Of Difficulty To Take One Or Two Hours Off At Short Notice, Economic Activity (NACE Rev. 2) And Occupation - Unpivoted
@eurostat.lfso_19fxwt06.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.

  • 253.95 KB
  • 88721 rows
  • 10 columns
freq

Freq

isco08

Isco08

nace_r2

Nace R2

lev_diff

Lev Diff

age

Age

sex

Sex

unit

Unit

geo

Geo

time_period

Time Period

value

Value

AnnualNo responseIndustry (except construction)Fairly difficultFrom 15 to 74 yearsMalesThousand personsPoland20197.2
AnnualNo responseIndustry (except construction)Fairly difficultFrom 15 to 74 yearsTotalThousand personsPoland20199.7
AnnualNo responseIndustry (except construction)Fairly difficultFrom 20 to 64 yearsMalesThousand personsPoland20197.2
AnnualNo responseIndustry (except construction)Fairly difficultFrom 20 to 64 yearsTotalThousand personsPoland20199.7
AnnualNo responseIndustry (except construction)Fairly difficult or very difficultFrom 15 to 74 yearsMalesThousand personsNetherlands20191.5
AnnualNo responseIndustry (except construction)Fairly difficult or very difficultFrom 15 to 74 yearsMalesThousand personsPoland20199.4
AnnualNo responseIndustry (except construction)Fairly difficult or very difficultFrom 15 to 74 yearsTotalThousand personsNetherlands20191.8
AnnualNo responseIndustry (except construction)Fairly difficult or very difficultFrom 15 to 74 yearsTotalThousand personsPoland201914.3
AnnualNo responseIndustry (except construction)Fairly difficult or very difficultFrom 20 to 64 yearsMalesThousand personsNetherlands20191.5
AnnualNo responseIndustry (except construction)Fairly difficult or very difficultFrom 20 to 64 yearsMalesThousand personsPoland20199.4

CREATE TABLE tidy (
  "freq" VARCHAR,
  "isco08" VARCHAR,
  "nace_r2" VARCHAR,
  "lev_diff" VARCHAR,
  "age" VARCHAR,
  "sex" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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