Need For Help With Personal Care Or Household Activities By Level Of Difficulty Experienced In Those Activities, Age And Degree Of Urbanisation

Eurostat code: hlth_ehis_tadlhu · (2019 - 2019)

@eurostat.hlth_ehis_tadlhu

Table List

2 tables(34.75 KB)

Need For Help With Personal Care Or Household Activities By Level Of Difficulty Experienced In Those Activities, Age And Degree Of Urbanisation - Raw

Need For Help With Personal Care Or Household Activities By Level Of Difficulty Experienced In Those Activities, Age And Degree Of Urbanisation - Unpivoted

Need For Help With Personal Care Or Household Activities By Level Of Difficulty Experienced In Those Activities, Age And Degree Of Urbanisation - Unpivoted

@eurostat.hlth_ehis_tadlhu.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.

17.81 KB
5424 rows
9 columns

freq Freq	age Age	deg_urb Deg Urb	lev_diff Lev Diff	assist Assist	unit Unit	geo Geo	time_period Time Period	value Value
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Austria	2019	40.4
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Belgium	2019
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Bulgaria	2019	28.3
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Cyprus	2019	43.6
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Czechia	2019	10.4
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Germany	2019	33.6
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Denmark	2019	15
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Estonia	2019	50.3
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Greece	2019	46.7
Annual	From 55 to 64 years	Cities	Limited	Get enough assistance	Percentage	Spain	2019	50.5


CREATE TABLE tidy (
  "freq" VARCHAR,
  "age" VARCHAR,
  "deg_urb" VARCHAR,
  "lev_diff" VARCHAR,
  "assist" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "time_period" VARCHAR,
  "value" DOUBLE
);

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