Baselight
Sign In

Persons Reporting A Work-related Health Problem By Sex, Age And Type Of Problem

Eurostat code: hsw_pb5 ยท (2007 - 2020)

@eurostat.hsw_pb5

Persons Reporting A Work-related Health Problem By Sex, Age And Type Of Problem - Unpivoted
@eurostat.hsw_pb5.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.

  • 37.54 KB
  • 16120 rows
  • 8 columns
freq

Freq

diagnose

Diagnose

sex

Sex

age

Age

unit

Unit

geo

Geo

time_period

Time Period

value

Value

AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons employed and previously employedEuro area - 19 countries (2015-2022)20070.4
AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons employed and previously employedEuropean Union - 27 countries (from 2020)20070.3
AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons employed and previously employedEuropean Union - 28 countries (2013-2020)20070.3
AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons employed and previously employedFrance20071.9
AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons employed and previously employedPoland20070.2
AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons reporting a health problemEuro area - 19 countries (2015-2022)20073.3
AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons reporting a health problemEuropean Union - 27 countries (from 2020)20073.1
AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons reporting a health problemEuropean Union - 28 countries (2013-2020)20073
AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons reporting a health problemFrance20074.2
AnnualCardiovascular disordersFemalesFrom 15 to 34 yearsPercentage of persons reporting a health problemPoland20072.7

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

Share link

Anyone who has the link will be able to view this.