The average age of billionaires in the country of their citizenship, calculation based on data from Forbes and Hurun

HOW TO JOIN WITH METADATA

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

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