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From owid-data-web
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.
npx claudepluginhub owid/owid-claude-plugins --plugin owid-data-webHow this skill is triggered — by the user, by Claude, or both
Slash command
/owid-data-web:joining-dataThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Our World in Data supplies a lot of important data at a national level for multiple years.
Queries public statistical data from Data Commons (census, health, economic, environmental) via Python API v2. Supports time-series observations, knowledge graph exploration, and entity resolution.
Takes a specific indicator or metric and produces a structured, journalist-ready comparison of how multiple countries perform on that measure, including context on what the differences mean.
Queries official Stats NZ data including CPI, GDP, population estimates/projections, migration, and CSV catalogue via CLI without API keys or authentication.
Share bugs, ideas, or general feedback.
Our World in Data supplies a lot of important data at a national level for multiple years.
When joining data from Our World In Data with that of other sources, the following should be taken into account:
Some data that OWID provides, like population, is especially useful, for example to convert metrics into per-capita data. Recommendations for these are given below. To understand how to download data given a chart url, consult the fetch-chart-data skill.
For population there are two relevant time series.
$.columns.[0].timespanFor GDP per capita, there are similarly two time series: