Number Of Employees With Variable Working Hours, By Sex, Age And Occupation

Eurostat code: lfso_04vawkisco · (2004 - 2004)

@eurostat.lfso_04vawkisco

Table List

2 tables(128.85 KB)

Number Of Employees With Variable Working Hours, By Sex, Age And Occupation - Raw

Number Of Employees With Variable Working Hours, By Sex, Age And Occupation - Unpivoted

Number Of Employees With Variable Working Hours, By Sex, Age And Occupation - Unpivoted

@eurostat.lfso_04vawkisco.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.

62.11 KB
15041 rows
8 columns

freq Freq	sex Sex	age Age	isco88 Isco88	ynlfs Ynlfs	geo Geo	time_period Time Period	value Value
Annual	Females	From 15 to 24 years	Armed forces	Total	Spain	2004	7.5
Annual	Females	From 15 to 24 years	Armed forces	Total	Netherlands	2004	2
Annual	Females	From 15 to 24 years	Armed forces	Fixed start and end of a working day	Spain	2004	5.5
Annual	Females	From 15 to 24 years	Armed forces	Fixed start and end of a working day	Netherlands	2004	1.8
Annual	Females	From 15 to 24 years	Managers, professionals, technicians and associate professionals	No answer	Switzerland	2004	27.9
Annual	Females	From 15 to 24 years	Managers, professionals, technicians and associate professionals	No answer	Czechia	2004	1
Annual	Females	From 15 to 24 years	Managers, professionals, technicians and associate professionals	No answer	Germany	2004	114.8
Annual	Females	From 15 to 24 years	Managers, professionals, technicians and associate professionals	No answer	Euro area - 13 countries (2007)	2004	148.1
Annual	Females	From 15 to 24 years	Managers, professionals, technicians and associate professionals	No answer	Euro area - 17 countries (2011-2013)	2004	148.2
Annual	Females	From 15 to 24 years	Managers, professionals, technicians and associate professionals	No answer	Euro area - 18 countries (2014)	2004	148.5


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

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