plotiq

CSV to Scatter Plot

Upload a CSV with numeric X and Y columns and Plotiq renders a scatter plot with optional regression overlay. Every point stays visible — nothing aggregated.

Go-to for correlation analysis, experiment results, and outlier spotting.

1. Upload your CSV

Drop a .csv file with two or more numeric columns. Plotiq parses it locally — no upload to a server.

2. Pick X and Y columns

Both axes must be numeric. Add more Y columns to plot multiple color-coded series.

3. Toggle regression and export

Turn the best-fit line on for a quick correlation summary, then export as PNG, PDF, or SVG.

When should I use a scatter plot?

When you want to see the relationship between two numeric variables — correlation, clustering, or outliers. Unlike aggregates, scatter plots preserve every point.

Can I add a regression / trend line to the scatter plot?

Yes. Toggle the regression overlay to draw a least-squares best-fit line through your points. It helps summarize slope and spot where the fit breaks down.

What columns do I need in my CSV?

Two numeric columns at minimum — one for X, one for Y. Optionally add more numeric columns to plot multiple series on the same axes.

How can I use the scatter plot to spot outliers?

Plot your data, toggle the regression line on, and any point far from the line is a visual outlier. Hover the point to read its exact X / Y values.