Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
90
87%
Does it follow best practices?
Impact
95%
4.52xAverage score across 3 eval scenarios
Risky
Do not use without reviewing
Hierarchy relation expressions + Pandas analysis
uv pip install
0%
100%
Pandas extras
0%
100%
Correct import
0%
100%
Relation expression
0%
0%
Correct variable name
0%
100%
to_observations_as_records
0%
100%
fetch_entity_names
0%
100%
Date year 2020
0%
100%
CSV output
100%
100%
Ranked output
100%
100%
Facet filtering + time series + resolve workflow
uv pip install
0%
100%
Resolve before query
25%
100%
entity_type filtering
33%
100%
Candidate validation
40%
100%
date all
0%
100%
filter_facet_domains
21%
100%
Unemployment variable
100%
100%
to_observations_as_records
0%
100%
pivot_table usage
100%
100%
CSV output
100%
100%
DataCommonsClient import
0%
100%
Coordinate resolution + variable discovery workflow
uv pip install
0%
100%
DataCommonsClient import
0%
100%
Coordinate resolution method
0%
100%
fetch_entity_names
0%
100%
Variable discovery
0%
100%
Population variable
0%
100%
Median age variable
0%
100%
Median income variable
0%
100%
date latest
0%
100%
to_observations_as_records
0%
100%
CSV output
100%
100%
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Table of Contents
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