Get unstuck quickly
Most work stays on your device. If something stops responding, use the steps below before resetting the data workspace.
Python is still loading
- Wait for the runtime status to say ready.
- Check your connection on the website’s first visit.
- If loading fails, reconnect and reopen the page or app.
A cell failed
- Read the error in the output panel.
- Undo the latest edit or use the reference workflow.
- Reset only when you want to restore the untouched dataset.
Statistics Playground
Choose an everyday question, then use Study setup to describe your data. Click each unlocked Suggested Route step to add and run its Python. Check assumptions, confidence intervals and effect size before interpreting the result. Earlier code edits clear dependent evidence. Download your notebook before leaving; Statistics starts a fresh session when reopened.
Data and export
Choose one of the bundled datasets to begin. Use CSV or chart export to save your result; in the native app, the system share sheet offers Files and other destinations.
Learn or refresh
Open Learn / Refresh for interactive Data Foundations practice. The guided tour shows you around the playground.
Owner-only ad-free access
Use private.dataplayground.science and sign in with the authorised email code. Public URL parameters do not unlock private access. Public ads remain disabled pending approval and consent testing.
Offline use
The native app packages the Python runtime and bundled datasets for offline work. The website caches its interface, but a first Python run may still need a connection to fetch the browser runtime.
Your data and session
Data Playground starts with an empty notebook each time it opens; copy code you want to keep before leaving. Machine Learning code drafts and bundled dataset text save automatically on this device for each setup. Python variables and results are temporary and reset when you reopen the workspace. CSV and chart exports are created only when you choose them through the browser or native share sheet. There is no account, cloud synchronisation, analytics or project-operated storage for analysis work.
Contact support
Email elijahang77@gmail.com with the page, dataset, and error message. Phone: +65 8822 7539.