Europe's AI Use

Make this example your own

Start with this working configuration

Keep the geography and setup, then replace the values or adjust the styling.

Map
Choropleth map
Geography
Europe
Dataset
33 mapped places · Numeric values
Rendering
Quantile color classes

Includes: pattern fills · map/table toggle · 3 summary stats

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Data you need

  • A place or boundary identifier that matches Europe.
  • A comparable rate, percentage, category, or normalized value for each area.
  • A meaningful color direction or midpoint that matches the subject of the data.
  • A title, units, source, and short note explaining definitions or limitations.

How to make a similar map

  1. Prepare one row per mapped place and match it to Europe; use stable geographic codes when available.
  2. Upload the CSV and confirm the location and value fields in Data check. Remove duplicates or unmatched rows before continuing.
  3. Choose a choropleth and start with the quantile color treatment; adjust the palette only if its direction supports the meaning of the values.
  4. Add labels, stat cards, and source notes only where they aid interpretation. Use the map/table toggle when both views matter but space is limited.

Try this map style with

These datasets can use the same geography and visual setup.

  • Digital skills by country
  • Renewable energy share
  • Online shopping or cloud adoption rates

Source and limitations

Credit: Visual Capitalist / Voronoi. Values transcribed from a provided infographic citing Eurostat and IAB UK, data as of Q4 2025.