Name: TB New Cases Per 100–000, Estimated, Infectious TB
Creator: Gapminder
License: https://creativecommons.org/licenses/by/4.0/

About this Dataset

TB New Cases Per 100–000, Estimated, Infectious TB

Estimated number of new TB cases (infectious) among 100,000 residents during the given year.

HOW TO JOIN WITH METADATA

• Concepts (labels/units)
– Use the concept id infectious_tb_new_cases_per_100000_estimated to look up labels and units in @gapminder.metadata.concepts.
SELECT * FROM @gapminder.metadata.concepts WHERE concept = 'infectious_tb_new_cases_per_100000_estimated'.

• 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.infectious_tb_new_cases_per_100000_estimated AS value
FROM @gapminder.infectious_tb_new_cases_per_100000_estimated.infectious_tb_new_cases_per_100000_estimated_by_geo_time d
LEFT JOIN @gapminder.metadata.entities_geo_country c ON d.geo = c.country;

Tables

TB New Cases Per 100–000, Estimated, Infectious TB → By → Geo → Time

@gapminder.infectious_tb_new_cases_per_100000_estimated.infectious_tb_new_cases_per_100000_estimated_by_geo_time

9.57 kB
3,726 rows
3 columns

CREATE TABLE infectious_tb_new_cases_per_100000_estimated_by_geo_time (
  "geo" VARCHAR,
  "time" BIGINT,
  "infectious_tb_new_cases_per_100000_estimated" BIGINT
);