Baselight

Extreme Temperature Affected Annual Number

Gapminder datapoints for 'extreme_temperature_affected_annual_number'

@gapminder.extreme_temperature_affected_annual_number

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About this Dataset

Extreme Temperature Affected Annual Number

Total number of people getting affected, injured or killed in extreme temperature during the given year.

HOW TO JOIN WITH METADATA

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

• 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.extreme_temperature_affected_annual_number AS value
FROM @gapminder.extreme_temperature_affected_annual_number.extreme_temperature_affected_annual_number_by_geo_time d
LEFT JOIN @gapminder.metadata.entities_geo_country c ON d.geo = c.country;

Tables

Extreme Temperature Affected Annual Number → By → Geo → Time

@gapminder.extreme_temperature_affected_annual_number.extreme_temperature_affected_annual_number_by_geo_time
  • 5.63 kB
  • 2,628 rows
  • 3 columns
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CREATE TABLE extreme_temperature_affected_annual_number_by_geo_time (
  "geo" VARCHAR,
  "time" BIGINT,
  "extreme_temperature_affected_annual_number" BIGINT
);

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