Accidents At Work By Sex, Age, Severity, NACE Rev. 2 Activity And Specific Physical Activity

Eurostat code: hsw_ph3_04 · (2014 - 2022)

@eurostat.hsw_ph3_04

Table List

2 tables(12.83 MB)

Accidents At Work By Sex, Age, Severity, NACE Rev. 2 Activity And Specific Physical Activity - Raw

Accidents At Work By Sex, Age, Severity, NACE Rev. 2 Activity And Specific Physical Activity - Unpivoted

Accidents At Work By Sex, Age, Severity, NACE Rev. 2 Activity And Specific Physical Activity - Unpivoted

@eurostat.hsw_ph3_04.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.

6.43 MB
7176870 rows
10 columns

freq Freq	physact Physact	severity Severity	nace_r2 Nace R2	sex Sex	age Age	unit Unit	geo Geo	time_period Time Period	value Value
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Austria	2014	47
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Belgium	2014
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Bulgaria	2014
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Switzerland	2014	20
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Cyprus	2014
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Czechia	2014
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Germany	2014
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Denmark	2014
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Estonia	2014	2
Annual	Operating machine	4 days or over	Agriculture, forestry and fishing	Females	Total	Number	Greece	2014


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

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