Baselight

Weekly Absences From Work, By Sex And Age - Weekly Data, Experimental Statistics

Eurostat code: lfsi_abs_w ยท (2015-W01 - 2022-W52)

@eurostat.lfsi_abs_w

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About this Dataset

Weekly Absences From Work, By Sex And Age - Weekly Data, Experimental Statistics

This Eurostat dataset contains data on weekly absences from work, by sex and age - weekly data, experimental statistics, as collected and published by the Statistical Office of the European Union.

Tables included:

  • raw: Original table as downloaded from Eurostat.
  • tidy: A cleaned and transformed version of the raw table, where time period values appear as rows instead of columns (unpivoted format).

Last updated: 2023-03-16T23:00:00+0100

Tables

Weekly Absences From Work, By Sex And Age - Weekly Data, Experimental Statistics - Raw

@eurostat.lfsi_abs_w.raw
  • 460.81 kB
  • 102 rows
  • 423 columns
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CREATE TABLE raw (
  "freq" VARCHAR,
  "age" VARCHAR,
  "sex" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2015_w01" DOUBLE  -- 2015-W01,
  "n_2015_w02" DOUBLE  -- 2015-W02,
  "n_2015_w03" DOUBLE  -- 2015-W03,
  "n_2015_w04" DOUBLE  -- 2015-W04,
  "n_2015_w05" DOUBLE  -- 2015-W05,
  "n_2015_w06" DOUBLE  -- 2015-W06,
  "n_2015_w07" DOUBLE  -- 2015-W07,
  "n_2015_w08" DOUBLE  -- 2015-W08,
  "n_2015_w09" DOUBLE  -- 2015-W09,
  "n_2015_w10" DOUBLE  -- 2015-W10,
  "n_2015_w11" DOUBLE  -- 2015-W11,
  "n_2015_w12" DOUBLE  -- 2015-W12,
  "n_2015_w13" DOUBLE  -- 2015-W13,
  "n_2015_w14" DOUBLE  -- 2015-W14,
  "n_2015_w15" DOUBLE  -- 2015-W15,
  "n_2015_w16" DOUBLE  -- 2015-W16,
  "n_2015_w17" DOUBLE  -- 2015-W17,
  "n_2015_w18" DOUBLE  -- 2015-W18,
  "n_2015_w19" DOUBLE  -- 2015-W19,
  "n_2015_w20" DOUBLE  -- 2015-W20,
  "n_2015_w21" DOUBLE  -- 2015-W21,
  "n_2015_w22" DOUBLE  -- 2015-W22,
  "n_2015_w23" DOUBLE  -- 2015-W23,
  "n_2015_w24" DOUBLE  -- 2015-W24,
  "n_2015_w25" DOUBLE  -- 2015-W25,
  "n_2015_w26" DOUBLE  -- 2015-W26,
  "n_2015_w27" DOUBLE  -- 2015-W27,
  "n_2015_w28" DOUBLE  -- 2015-W28,
  "n_2015_w29" DOUBLE  -- 2015-W29,
  "n_2015_w30" DOUBLE  -- 2015-W30,
  "n_2015_w31" DOUBLE  -- 2015-W31,
  "n_2015_w32" DOUBLE  -- 2015-W32,
  "n_2015_w33" DOUBLE  -- 2015-W33,
  "n_2015_w34" DOUBLE  -- 2015-W34,
  "n_2015_w35" DOUBLE  -- 2015-W35,
  "n_2015_w36" DOUBLE  -- 2015-W36,
  "n_2015_w37" DOUBLE  -- 2015-W37,
  "n_2015_w38" DOUBLE  -- 2015-W38,
  "n_2015_w39" DOUBLE  -- 2015-W39,
  "n_2015_w40" DOUBLE  -- 2015-W40,
  "n_2015_w41" DOUBLE  -- 2015-W41,
  "n_2015_w42" DOUBLE  -- 2015-W42,
  "n_2015_w43" DOUBLE  -- 2015-W43,
  "n_2015_w44" DOUBLE  -- 2015-W44,
  "n_2015_w45" DOUBLE  -- 2015-W45,
  "n_2015_w46" DOUBLE  -- 2015-W46,
  "n_2015_w47" DOUBLE  -- 2015-W47,
  "n_2015_w48" DOUBLE  -- 2015-W48,
  "n_2015_w49" DOUBLE  -- 2015-W49,
  "n_2015_w50" DOUBLE  -- 2015-W50,
  "n_2015_w51" DOUBLE  -- 2015-W51,
  "n_2015_w52" DOUBLE  -- 2015-W52,
  "n_2015_w53" DOUBLE  -- 2015-W53,
  "n_2016_w01" DOUBLE  -- 2016-W01,
  "n_2016_w02" DOUBLE  -- 2016-W02,
  "n_2016_w03" DOUBLE  -- 2016-W03,
  "n_2016_w04" DOUBLE  -- 2016-W04,
  "n_2016_w05" DOUBLE  -- 2016-W05,
  "n_2016_w06" DOUBLE  -- 2016-W06,
  "n_2016_w07" DOUBLE  -- 2016-W07,
  "n_2016_w08" DOUBLE  -- 2016-W08,
  "n_2016_w09" DOUBLE  -- 2016-W09,
  "n_2016_w10" DOUBLE  -- 2016-W10,
  "n_2016_w11" DOUBLE  -- 2016-W11,
  "n_2016_w12" DOUBLE  -- 2016-W12,
  "n_2016_w13" DOUBLE  -- 2016-W13,
  "n_2016_w14" DOUBLE  -- 2016-W14,
  "n_2016_w15" DOUBLE  -- 2016-W15,
  "n_2016_w16" DOUBLE  -- 2016-W16,
  "n_2016_w17" DOUBLE  -- 2016-W17,
  "n_2016_w18" DOUBLE  -- 2016-W18,
  "n_2016_w19" DOUBLE  -- 2016-W19,
  "n_2016_w20" DOUBLE  -- 2016-W20,
  "n_2016_w21" DOUBLE  -- 2016-W21,
  "n_2016_w22" DOUBLE  -- 2016-W22,
  "n_2016_w23" DOUBLE  -- 2016-W23,
  "n_2016_w24" DOUBLE  -- 2016-W24,
  "n_2016_w25" DOUBLE  -- 2016-W25,
  "n_2016_w26" DOUBLE  -- 2016-W26,
  "n_2016_w27" DOUBLE  -- 2016-W27,
  "n_2016_w28" DOUBLE  -- 2016-W28,
  "n_2016_w29" DOUBLE  -- 2016-W29,
  "n_2016_w30" DOUBLE  -- 2016-W30,
  "n_2016_w31" DOUBLE  -- 2016-W31,
  "n_2016_w32" DOUBLE  -- 2016-W32,
  "n_2016_w33" DOUBLE  -- 2016-W33,
  "n_2016_w34" DOUBLE  -- 2016-W34,
  "n_2016_w35" DOUBLE  -- 2016-W35,
  "n_2016_w36" DOUBLE  -- 2016-W36,
  "n_2016_w37" DOUBLE  -- 2016-W37,
  "n_2016_w38" DOUBLE  -- 2016-W38,
  "n_2016_w39" DOUBLE  -- 2016-W39,
  "n_2016_w40" DOUBLE  -- 2016-W40,
  "n_2016_w41" DOUBLE  -- 2016-W41,
  "n_2016_w42" DOUBLE  -- 2016-W42
);

Weekly Absences From Work, By Sex And Age - Weekly Data, Experimental Statistics - Unpivoted

@eurostat.lfsi_abs_w.tidy
  • 87.25 kB
  • 30,188 rows
  • 7 columns
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CREATE TABLE tidy (
  "freq" VARCHAR,
  "age" VARCHAR,
  "sex" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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