Fonts, canvas size and responsive figures in Datamon: easy guide and free examples

Prepare a report figure at the dimensions where it will be read. Preview zoom changes the viewing scale, while canvas width and height determine the figure layout.

Fonts, canvas size and responsive figures in Datamon: easy guide and free examples. Explore the public-data example; methods and data notes are below.
Explore the public-data example; methods and data notes are below.Download chart SVG

What this helps you see

Prepare a report figure at the dimensions where it will be read. Preview zoom changes the viewing scale, while canvas width and height determine the figure layout.

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 6 observations and these columns: Asset class, Volume (m), Growth (%). Keep the header row and preserve one observation per row. The table below shows the first records; the CSV retains the full example.

Download free example CSV

Illustrative data, not research findings
Asset classVolume (m)Growth (%)
Rates13.710
Equities6.82
Energy2.517
Agriculture1.713
FX18
Metals0.73623

How to use it in Datamon

  1. Choose width and height with the canvas controls before polishing text.
  2. Use Refine typography settings for title, axis ticks, data labels and legend where supported.
  3. Choose an included font or a suitable installed font and inspect its characters, including non-Latin labels.
  4. Check device views and the actual SVG, PNG or PowerPoint at the destination size.

Column mapping

Period / category
Asset class
Column values
Volume (m)
Line / right axis
Growth (%)

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

A large screen preview does not prove a small slide is readable. External applications may substitute unavailable fonts; inspect the delivered file.

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 fonts, canvas size and responsive figures 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.

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