Visualize geographic density: easy guide, free example

What this helps you see

Find concentrations with kernels, hexagons or grids

A practical use case

Explore where recorded locations concentrate, keeping observation coverage separate from real-world risk.

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 48 observations and these columns: ISO3, Income (USD), Life (years), Population (m), Latitude, Longitude, Economy, Continent. Keep the header row and preserve one observation per row. The table below shows the first records; the CSV retains the full example.

World Bank · World Development Indicators · 2010 and 2023 snapshot

Download free example CSV

How to use it in Datamon

1. Sign in with Google, create a visualization and import the free CSV in Data. Check numeric columns, date order, decimal separator and missing values against the example table.
2. In Visualize, choose Geographic density. Connect the required columns exactly as listed below, then inspect at least two marks against the data. Optional roles are available only when the chosen type exposes them.
3. Keep the observation unit and reporting period explicit. Select the figure size before adjusting text, and check the chart at the size your reader will see.

Column mapping

Value

Income (USD)

Latitude

Latitude

Longitude

Longitude

Location label

Economy

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.

Refine and export the result

In Refine, edit the title, subtitle, axis descriptions, source and supported series settings. Use color to identify a comparison rather than to decorate every mark. Export SVG, PNG, JPEG, PDF or PowerPoint and inspect the actual file; save an editable project backup for revisions.

Limits and common mistakes

Match the geographic unit before reading color, size or density. Administrative boundaries, coordinates and origin–destination routes describe different record types. Inspect unmatched regions, coordinate order, denominators and no-data areas, then document the chosen geography.

This visualization is listed as stable in the current Datamon capability registry. Check its actual field requirements and supported controls; stable status does not make every chart option available on every representation.

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

Sources and further reading

• Datamon · Documentation
• Datamon · Capabilities and access
• Datamon · Privacy
• Browse article topics
• World Bank · World Development Indicators · 2010 and 2023 snapshot
• Datamon · Visual library
• Download free example CSV