For Data Scientists & ML Engineers · Leisure Facilities
Leisure Facilities Data for Data Scientists
Leisure Facilities data for data scientists: 10 datasets on one shelf. Every one delivered as API, files, or warehouse rows.
financial time series api for backtesting · alternative data for quantitative research · where to get training data for leisure facilities models
API, files, or your warehouse. Daily, weekly, or hourly.
Why leisure-facility data suits data-science workflows
This pairing is unusually clean for modeling work. Format coverage favors geodata - six of the ten list GeoJSON, nine list a JSON flavor and six list CSV - while OS Open Greenspace adds GML 3.2.1, Esri Shapefile, GeoPackage and MBTiles vector tiles. The industry-wide picture sits on the leisure-facilities data hub.
The 10 best leisure-facilities datasets for data scientists
All ten qualifying records, ranked for pipeline work. Every entry carries Datadory's 0-10 quality score; four sit at maximum relevance 3 for this persona.
Straight answers
Is there an API for backtesting or forecasting leisure demand?
OpenActive streams JSON-LD session feeds in real time, which works as a live demand signal for activity-type forecasts; NYC Open Data pairs daily-updated attendance and inspection records; RIDB and the NPS API cover campsite and park-unit history for tourism-demand series.
Does this count as alternative data for quantitative research?
Supply-side layers such as Active Places Power change slowly and serve better as structural controls than signals, so treat the two groups as separate frequencies when you build a panel.
Where can I get training data for leisure-demand models?
Start with OpenActive's JSON-LD session feeds as the target variable, then join facility supply from Active Places Power and greenspace context from OS Open Greenspace.
Rows before rollout
Sample rows from any shelf entry — the field dictionary and coverage notes ride along. If the shelf misses what you need, say so; sourcing requests are half our job.
Talk to us