Coming Soon
We're currently curating a comprehensive collection of scatter chart examples from top publications like The Economist, Financial Times, and McKinsey. Check back soon for detailed examples and analysis.
What Makes a Great Scatter Chart?
- Clear Axes: Both X and Y axes must be clearly labeled with units
- Appropriate Scale: Choose scales that reveal the relationship without distortion
- Color Coding: Use color to show categories or highlight specific data points
- Size Variation: Optionally encode a third variable through bubble size
- Trend Lines: Add regression lines when showing correlation
- Annotations: Label outliers or significant data points
When to Use Scatter Charts
Scatter charts are most effective when you need to:
- Show correlation: Reveal positive, negative, or no correlation between variables
- Identify outliers: Spot data points that don't fit the pattern
- Compare distributions: See how different groups cluster
- Detect patterns: Uncover non-linear relationships in your data
- Analyze multivariate data: Use size and color for additional dimensions
Common Mistakes to Avoid
Too Many Data Points
Overcrowding makes patterns impossible to see. Consider sampling, aggregation, or density plots for large datasets.
Misleading Scales
Starting axes at non-zero values or using inconsistent scales can distort relationships and mislead viewers.
No Context
Scatter plots without labels, legends, or annotations leave viewers guessing what the visualization means.
Create Scatter Charts in Google Slides
Ready to create your own scatter charts? Chartbuddy brings professional-quality scatter plots to Google Slides with advanced features like custom colors, trend lines, and bubble sizing.