Baselight

Newly HIV Infected (number, All Ages)

Gapminder datapoints for 'newly_hiv_infected_number_all_ages'

@gapminder.newly_hiv_infected_number_all_ages

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About this Dataset

Newly HIV Infected (number, All Ages)

The total number of persons in all ages that are estimated to be newly infected with HIV during the given year.

HOW TO JOIN WITH METADATA

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

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

Tables

Newly HIV Infected (number, All Ages) → By → Geo → Time

@gapminder.newly_hiv_infected_number_all_ages.newly_hiv_infected_number_all_ages_by_geo_time
  • 7.03 kB
  • 1,541 rows
  • 3 columns
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CREATE TABLE newly_hiv_infected_number_all_ages_by_geo_time (
  "geo" VARCHAR,
  "time" BIGINT,
  "newly_hiv_infected_number_all_ages" BIGINT
);

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