A scatter plot (also called a scatter chart or scatter graph) is a type of data visualization that displays values for two variables as points on a Cartesian plane. Each point represents an observation, with its X and Y coordinates corresponding to the values of the two variables. Scatter plots are essential for identifying relationships, correlations, clusters, and outliers in bivariate data.

The Pearson correlation coefficient R ranges from -1 to +1. A value close to +1 indicates a strong positive linear relationship (as X increases, Y increases). A value close to -1 indicates a strong negative relationship (as X increases, Y decreases). A value near 0 suggests little to no linear correlation. The R² (coefficient of determination) indicates what proportion of the variance in Y is predictable from X—for example, R²=0.81 means 81% of Y's variance is explained by X.

Our tool supports multiple delimiters: comma (CSV), tab (from Excel or Google Sheets), semicolon, and space. Simply copy two columns from your spreadsheet and paste them into the paste dialog. Each line should contain one X,Y pair. Empty lines are automatically skipped, and non-numeric values trigger a validation warning.

The trendline (or line of best fit) is computed using ordinary least squares (OLS) linear regression. It finds the line y = mx + b that minimizes the sum of squared vertical distances between observed data points and the predicted line. The slope m and intercept b are displayed in the statistics bar. You can toggle the trendline on/off using the switch in the settings panel.

Yes! Click the PNG button to download the current chart as a high-resolution PNG image. You can also export your raw data as a CSV file for use in other applications like Excel, R, or Python. Both export options are available in the top toolbar.

There is no hard limit on the number of data points. The tool performs well with hundreds of points. For extremely large datasets (thousands of points), you may notice slight performance differences. The data table is scrollable, and Chart.js efficiently renders large scatter datasets. For best visual clarity, we recommend up to ~500 points on screen at once.

No. All data processing happens entirely in your browser using client-side JavaScript. Your data is never uploaded, stored on a server, or shared with third parties. You can use this tool offline once the page is loaded. Privacy and data security are fundamental to our design.