UltiCharts

Free Scatter Chart Maker

Reveal relationships between variables. Create professional scatter charts online in seconds — no signup required.

Create Your Scatter Chart

X
Y
5101520706050403020Performance vs Experience

What is a Scatter Chart?

Scatter charts plot individual data points on a two-dimensional grid to reveal relationships, correlations, and patterns between two variables.

When to Use a Scatter Chart

  • Analyzing correlation between advertising spend and sales
  • Exploring relationships in scientific research data
  • Identifying outliers in datasets
  • Comparing performance metrics across entities
  • Visualizing distribution patterns in survey data

Frequently Asked Questions

How do I create a scatter chart online for free?
Enter your X and Y data pairs in the editor above, customize point size and colors, then export as PNG or SVG. No signup or account required.
What is a scatter chart used for?
Scatter charts show the relationship between two numeric variables. Each point represents one observation, with its position determined by its X and Y values. They are ideal for spotting correlations, clusters, and outliers.
What is a trend line on a scatter chart?
A trend line (or line of best fit) shows the overall direction of the data. Enable it in the controls to see whether your variables have a positive, negative, or no correlation.
How many data points should a scatter chart have?
Scatter charts work best with 10 to 500 data points. Too few points make it hard to see patterns; too many can create visual clutter. Adjust the point size to help with dense data.
What is the difference between a scatter chart and a line chart?
Line charts connect data points in order to show trends over sequential categories (like time). Scatter charts plot points freely on two numeric axes to show relationships between variables — points are not connected.
Can I show multiple datasets on one scatter chart?
Yes. Add multiple datasets and each will render with a distinct color. Enable the legend to label each dataset.