Joining Data
This skill describes how to join data with Our World In Data data, e.g. when you want to calculate per capita data by using the OWID population data or when you want to create a scatter plot against GDP per capita using OWID's GDP data. It also applies to other cases where several data sources that each have data for multiple countries should be joined together.
Fetch Chart Data
This skill describes how to fetch data for an Our World In Data chart, once the relevant chart URL has been identified. Consult this skill to understand the possible query params to get the best results and to understand the response. Use it when you need to fetch data and have already identified the relevant chart URL.
Owid Catalog
Access Our World In Data from Python with the owid-catalog library: load chart data, catalog tables or individual indicators as pandas DataFrames that carry their own units, descriptions, sources and citations. Use this skill whenever the work happens in Python or a notebook (pandas, a uv script, matplotlib, parquet); whenever you need an indicator's metadata, units or codebook; whenever you need…
Search Charts
Search Our World In Data's published charts by keyword to find the chart you need, across topics like population, energy and electricity, CO2 and climate, poverty and GDP, health and causes of death, education, democracy, violence and war. Use this whenever someone wants to find, browse, link or embed an OWID chart and does not already have its URL, or asks what OWID publishes on a topic. Returns…