Scatter Chart Maker
Configuration
Data Points
| X Value | Y Value | Size | Color | |
|---|---|---|---|---|
General Settings
Chart Appearance
Display Settings
Display Options
preview
About Scatter Charts
When to Use Scatter Charts
Scatter charts are ideal for visualizing relationships between two variables, identifying correlations, outliers, and patterns in data points. They're especially useful for scientific data, statistical analysis, and showing distribution patterns.
Benefits of Scatter Charts
- Show relationships between two variables
- Identify correlations, patterns, and outliers
- Visualize large datasets efficiently
- Compare measurement data points
- Display clustering and distribution patterns
How to Create Your Scatter Chart
Add your data points
Enter X and Y values for each point, customize point sizes and colors.
Adjust visual settings
Configure dot size, opacity, grid lines, and axis labels.
Customize display options
Choose to show/hide labels, tooltips, and reference lines for better data visualization.
Download your chart
Save your finished scatter chart as PNG or SVG for use in your documents or presentations.
Tips for Better Charts:
- Use different point sizes to represent a third variable
- Add meaningful axis labels to clarify your data
- Show reference lines to highlight important thresholds
- Choose contrasting colors for better visibility
Frequently Asked Questions
Can I represent a third variable in a scatter chart?
Yes, you can use different point sizes or colors to represent a third variable, turning your scatter chart into a bubble chart.
What's the difference between a scatter chart and a line chart?
Scatter charts show individual data points without connecting lines, while line charts connect data points to show trends over time or sequence.
How many data points can I add to my scatter chart?
Our tool supports adding many data points, but for optimal performance and readability, we recommend keeping it under 100 points.
Can I show trend lines in my scatter chart?
Yes, you can enable reference lines to show trends or correlations in your data.