Data source
Data from Kaggle (Antonio et al.), delivered clean.
1 dataset pulled from Kaggle (Antonio et al.)'s releases, checked field by field and shipped the way you want them — daily, weekly, or hourly, your call.
- 1 dataset
- 1 industry
- Real rows on request
What Datadory delivers from Kaggle (Antonio et al.)
1Hotel Booking Demand (Kaggle – 119k Portuguese Hotel Bookings)
Pick a catch, see the rows.
Name any Kaggle (Antonio et al.) dataset and we send real rows from it — not a screenshot of rows. 1,744 datasets. Pick your catch.
Get a sampleAPI, files, or your warehouse. Daily, weekly, or hourly.
Straight answers about Kaggle (Antonio et al.) data
Is a static snapshot still worth delivering?
Yes - that is the point for benchmarking. Because values never change, cancellation-prediction and ADR models trained on these 119,390 rows reproduce identically across teams and time, which is why it remains the reference corpus for hospitality demand modelling. For current trading conditions, pair it with refreshed statistical series from the same industry slice.
What can I model with these 32 fields?
Cancellation prediction using `is_canceled` and `reservation_status`, ADR regression from lead time, segment and room type, no-show risk from deposit type and booking changes, and resort-versus-city behavioural comparisons. Every input needed for the classic hospitality demand-modelling tasks ships in one consistent table.