What is a scatter plot?

A scatter plot displays paired data points on a coordinate plane with one variable on each axis. It reveals patterns, trends, and correlations between two variables.

What does R² tell me?

R² (coefficient of determination) ranges from 0 to 1 and indicates how well the regression line fits the data. An R² of 0.9 means 90% of the variance in Y is explained by X.

When should I add a regression line?

Add a regression line when you want to quantify the linear relationship between variables, make predictions, or measure correlation strength. Check the R² value to assess how well a linear model fits.

Scatter Plot Maker

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About Scatter Plot Maker

Enter paired x and y data to create a scatter plot. Optionally enable linear regression to see the best-fit line, slope, intercept, and R² coefficient of determination — all computed step by step.

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FAQ

Is this data visualization tool free?

Yes! Create histograms, box plots, scatter plots, dot plots, and stem-and-leaf diagrams completely free with step-by-step explanations. No account required.

What types of charts can I create?

You can create histograms (frequency distributions), box-and-whisker plots (with outlier detection), scatter plots (with optional regression lines), dot plots (stacked dots), and stem-and-leaf diagrams.

How does the histogram bin calculation work?

By default, the tool uses Sturges' rule (k = 1 + 3.322 × log₁₀(n)) to determine the optimal number of bins for your dataset. You can also specify a custom number of bins or a specific bin width.

Can I compare multiple datasets?

Yes! The box plot supports multiple groups, letting you compare distributions side by side. Scatter plots show relationships between two variables with optional regression analysis.

How are the step-by-step solutions generated?

All computations use numpy and scipy for mathematical precision. Each step shows the formula, substitution, and result — unlike AI chatbots, every calculation is deterministic and guaranteed to be correct.

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