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Scatter Plot Maker

Visualize relationships between two variables — color-code by group

A scatter plot displays pairs of numeric values as dots on a grid, making it immediately clear whether two variables are correlated. Points that form an upward trend indicate positive correlation; a downward trend is negative; a random cloud means no correlation.

This tool loads 40 measurements of Height, Weight, and Gender. Click Link Data to scatter-plot Height vs Weight, colored by Gender. You can then ask the AI to overlay a regression line or compute the correlation coefficient.

Paste your own two-column CSV (plus optional group column) to visualize your own data.

Graph

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FAQ

What does a scatter plot show?
A scatter plot shows the relationship between two numeric variables. Each dot represents one observation. The overall pattern reveals whether the variables are correlated (as one increases, does the other tend to increase or decrease?) and how strong that relationship is.
What is correlation vs. causation?
A scatter plot can show correlation — two variables moving together — but not causation. Ice cream sales and drowning rates are correlated (both peak in summer) but neither causes the other. Causation requires controlled experiments, not just data.
What is the correlation coefficient (r)?
The correlation coefficient r ranges from -1 to +1. r = +1 is a perfect upward line; r = -1 is a perfect downward line; r = 0 is no linear relationship. As a rough guide: |r| > 0.7 = strong, 0.3–0.7 = moderate, < 0.3 = weak correlation.
How does "color by group" work?
If you have a categorical column (like Gender or Species), ask the AI "color by Gender" and it will draw the scatter plot with each group in a different color. This makes it easy to see whether the relationship between the two variables differs across groups.

Related Topics

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