What this helps you see
Keep datasets, visual settings and annotations together so a report figure can be revised instead of reconstructed. Account saving and a downloaded backup provide different recovery paths.
Free example data and exact column mapping
The figure uses the downloadable CSV with the exact column mapping below. Public snapshots retain their data notes and transformations. Constructed teaching scenarios are identified in the method notes; they are not customer results. Editorial layouts may combine comparisons from the same records.
The free example contains 12 observations and these columns: Economy, Population (m), Income (USD), Life (years). Keep the header row and preserve one observation per row. The table below shows the first records; the CSV retains the full example.
| Economy | Population (m) | Income (USD) | Life (years) |
|---|---|---|---|
| India | 1438.069596 | 2434.44826340989 | 72.003 |
| China | 1410.71 | 12951.1782397043 | 77.953 |
| USA | 336.755052 | 82586.7847707894 | 78.3853658536585 |
| Indonesia | 281.190067 | 4876.2992959843 | 71.146 |
| Pakistan | 247.504495 | 1360.32417758419 | 67.649 |
| Nigeria | 227.882945 | 2138.76383718757 | 54.462 |
How to use it in Datamon
- Sign in with the Google identity that owns the workspace.
- Save the project and confirm its current status before leaving the page.
- Use workspace organization such as folders and favorites to find related visualizations.
- Download a .visualproject backup. When a version conflict appears, retain pending changes before choosing how to resolve it.
Column mapping
How to read the example
Compare positions and values with the table, then inspect the legend or size encoding where used. A visual pattern is a description of the displayed observations. It does not by itself identify a cause, justify extrapolation, or repair missing data.
Limits and common mistakes
Projects are account-backed, while browser caches are account-isolated. Clearing browser storage is not a substitute for account deletion, and a public publication has a separate lifecycle.
What is free and what needs an account?
Reading this guide and downloading its CSV and chart images are free. Datamon currently has no paid checkout or subscription plans in this deployment. Creating and saving an editable visualization requires Google sign-in. Provider-backed AI, cloud analysis, publishing and video depend on configured services; this guide does not promise unlimited free connected services.
Questions before you start
Can I visualize save, organize and back up projects with a free example?
Yes. The CSV and preview images on this page are free to download. Follow the field mapping and steps above. Sign in to create and save the editable project; connected-service availability is separate.
Can I replace the example with my own data?
Yes. Preserve the observation unit and the required numeric, category or geographic fields. Recompute any derived values, update the unit and source, and compare the output with known rows before sharing.
Sources and further reading
Report a correction or an access barrier: Email the editorial contact.
Open Datamon