Scatter Plot Chart

A scatter plot shows the relationship between two different measurements by plotting points on an X-Y grid. Each point represents one data item, with its horizontal position showing one value and its vertical position showing another. By looking at the pattern of dots, you can quickly see if there's a correlation – do higher X values tend to come with higher Y values? This chart is essential for discovering relationships in your data.

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Scatter Plot chart example
Example generated in PrettyChart

How to create a Scatter Plot chart

  1. Start from a CSV/Excel file, paste data in the spreadsheet, or use Draw Chart to sketch a Scatter Plot chart.
  2. Optional: import a chart screenshot and extract data automatically, then double-check the result.
  3. Optionally accept AI suggestions for chart type and style, or keep full manual control.
  4. Choose your Label column and select two or more Value columns (each becomes a series).
  5. Choose a template + theme, then adjust colors, patterns, and light effects to match your Scatter Plot style.
  6. Export as PNG once the chart looks perfect.
Create in PrettyChart → Or start with Draw Chart →

When to use

  • Looking for correlations
  • Many data points
  • Two numeric variables
  • Outlier detection

When to avoid

  • Categorical data
  • Few data points (<10)
  • Time series (use line chart)

Data requirements

1 Label column
2+ Value columns
2+ Data rows

Data format: One label column + two value columns (X axis, Y axis)

Common use cases

Price vs. demand analysis
Height vs. weight correlation
Advertising spend vs. sales
Quality score relationships

Scatter Plot chart comparisons

Scatter Plot Chart vs Bubble Chart

Use scatter/bubble to explore relationships between numeric variables. Use bars when you are comparing category totals.

Bubble Chart →

Scatter Plot Chart vs Line Chart

Use bars to compare discrete points (e.g., monthly totals). Use a line chart to show continuous trends and patterns over time.

Line Chart →

Styling a Scatter Plot chart

  • Keep labels readable: fewer categories and shorter labels make a Scatter Plot chart look cleaner.
  • If you're exporting, use a high-contrast theme so text and marks stay readable.
  • If elements blend together, try a gentle pattern or light effect for separation.
  • If you need to compare many categories, consider a Horizontal Bar chart for better label space.

Related chart types

Bubble Chart Scatter plot with a third dimension: bubble size. Visualize 3 variables at once.Heatmap Chart Grid of colored cells where intensity = value. Spot patterns in large datasets.Line Chart The go-to choice for showing change over time. Points connected by lines reveal trends.

FAQ

How do you read a Scatter Plot chart?

A Scatter Plot chart is a way to visualize data formatted as: One label column + two value columns (X axis, Y axis). It works well for price vs. demand analysis.

When should I use a Scatter Plot chart?

Choose a Scatter Plot chart when looking for correlations and many data points. For best results, keep labels readable and values numeric.

How do I make a Scatter Plot chart from a spreadsheet?

Upload a CSV/Excel file, map the columns, and PrettyChart will generate a Scatter Plot chart you can customize and export as PNG.

Does PrettyChart recommend a chart type and design automatically?

Yes. PrettyChart can suggest both the chart type and a design direction after upload — you can still tweak every detail.

Can I create a Scatter Plot chart by drawing or from an existing chart image?

Yes. You can draw a chart or upload an image to extract values, then edit the Scatter Plot chart like any other.

Is signup required to export a Scatter Plot chart?

No signup is required — you can create, customize, and export your Scatter Plot chart right away.

Ready to Create Your Scatter Plot Chart?

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