Improve metadata: add resource/field descriptions and fix year field type#14
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…type - Add description to resources "gdp" and "top-economies" - Add description to all fields missing one (country, year, Country Name, Country Code, Year) - Fix top-economies.year type from integer → year (values are four-digit calendar years) - Document in README that top-economies.csv is manually maintained and not regenerated by the automated script Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
License: - Change declared license from ODC-PDDL-1.0 to CC-BY-4.0 to match the World Bank upstream source, which publishes under CC BY 4.0 - Add attribution statement to README license section top-economies.csv automation: - Add generate_top_economies() to process.py: reads gdp.csv, filters regional aggregates via WB Metadata_Country file (falls back to a hardcoded exclusion set when running locally without fresh cache), selects top-10 countries by latest-year GDP, writes rows from 2000 onward in USD trillions - Fix output paths to use script_dir-relative paths so the script works correctly when run from scripts/ (as CI does) - update_datapackage() now keeps view title and resource description year range in sync with the generated data - Regenerate data/top-economies.csv: extends coverage from 2022 to 2023 and reorders by 2023 GDP rank (Germany now #3, ahead of Japan) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Changes
Metadata (datapackage.json / README)
descriptionto resourcesgdpandtop-economiesdescriptionto all schema fields that were missing one:country,year(top-economies),Country Name,Country Code,Year(gdp)top-economies.yeartype frominteger→year(values are four-digit calendar years; Frictionlessyearis the most specific correct type)License
ODC-PDDL-1.0toCC-BY-4.0to match the World Bank upstream source, which publishes under CC BY 4.0README.mdlicense sectiontop-economies.csv automation
generate_top_economies()toscripts/process.py: readsgdp.csv, filters regional aggregates via the WBMetadata_Countryfile (falls back to a hardcoded exclusion set of 49 aggregate codes when running locally without fresh cache), selects top-10 countries by latest-year GDP, writes derived file in USD trillionsupdate_datapackage()now keeps view title and resource description year range in sync with generated data on every runscript_dir-relative paths so the script works correctly when run from thescripts/directory (as CI does)data/top-economies.csv: extends coverage from 2022 to 2023, reorders by 2023 GDP rank (Germany now no.3, ahead of Japan)🤖 Generated with Claude Code