Baselight

Data Quality - Population

Gapminder datapoints for 'data_quality_population'

@gapminder.data_quality_population

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About this Dataset

Data Quality - Population

Rates the quality for each observation of "Population, total". The ratings are 1 (very good); 2 (good); 3 (fair); 4 (bad) and 5 (very bad). You can use this "indicator" together with total population to highlight the roughest observations.

HOW TO JOIN WITH METADATA

• Concepts (labels/units)
– Use the concept id data_quality_population to look up labels and units in @gapminder.metadata.concepts.
SELECT * FROM @gapminder.metadata.concepts WHERE concept = 'data_quality_population'.

• Countries and names
– Join your datapoints on geo to @gapminder.metadata.entities_geo_country to get readable country/area names
(e.g., name) and membership attributes such as world_4region, income_groups.

• Regions and other group labels
– After you have a region code from the country table (e.g., world_4region),
you can join to:
· @gapminder.metadata.entities_geo_world_4region on world_4region → region names/colors/shapes
· @gapminder.metadata.entities_geo_world_6region on world_6region → region names
· @gapminder.metadata.entities_geo_income_groups on income_groups → income group names

Example:
SELECT d.time,
c.name AS country,
d.data_quality_population AS value
FROM @gapminder.data_quality_population.data_quality_population_by_geo_time d
LEFT JOIN @gapminder.metadata.entities_geo_country c ON d.geo = c.country;

Tables

Data Quality - Population → By → Geo → Time

@gapminder.data_quality_population.data_quality_population_by_geo_time
  • 5.52 kB
  • 655 rows
  • 3 columns
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CREATE TABLE data_quality_population_by_geo_time (
  "geo" VARCHAR,
  "time" BIGINT,
  "data_quality_population" BIGINT
);

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