Visualize scatter plot: easy guide, free example

Compare paired income and life-expectancy values while retaining the country behind every point.

Visualize scatter plot: easy guide, free example. 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

Find relationships between two measures.

A practical use case

Compare paired income and life-expectancy values while retaining the country behind every point.

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: Country, Income (USD), Life (years), Population (m), Region. 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

Illustrative data, not research findings
CountryIncome (USD)Life (years)Population (m)Region
UAE49850.694508208482.90910.483751Asia
Argentina14261.846566794877.39545.538401South America
Australia65058.377314667483.051219512195126.659922Oceania
Austria56579.50417546881.79268292682939.131761Europe
Belgium55244.6814581182.411.779946Europe
Bangladesh2551.0177382730774.672171.46699Asia

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 Scatter plot. 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

X axis
Income (USD)
Y axis
Life (years)
Point label
Country
Color
Region

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

Each paired coordinate must come from the same observation and reporting period. Inspect clusters, outliers and scale before summarizing the relationship. A third visual role such as size adds another measure; it cannot establish causality or correct an invalid join.

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

Can I visualize scatter plot 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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