> ## Documentation Index
> Fetch the complete documentation index at: https://cubed3-igor-docs-cartesian-chart-builder.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Scatter

> Plot two measures against each other to find correlations, clusters, and outliers.

Scatter charts plot individual data points using two measures as X and Y coordinates. Use them to explore relationships between measures, identify clusters, and spot outliers across a population of entities.

## Variants

### Basic scatter

Two measures on the X and Y axes. Each row in your result set becomes one point.

### With color grouping

Pick a dimension in the **Series** slot to color the points by category. Use this to compare how different groups distribute across the same two measures.

### With size encoding

Map a third numeric measure to the **Size** slot to scale each point's radius by value. Use this to encode a third variable without adding a new axis.

## Size encoding

Assign a measure to the **Size** slot in the Fields tab. Points scale proportionally to the measure value. Configure the minimum and maximum radius in the Style tab.

A scatter chart takes **X-Axis**, **Y-Axis**, **Series** and **Size** rather than the measure sections the other cartesian charts use, and has no orientation switch. See [Fields](/docs/explore-analyze/charts/configuration/fields#scatter-charts).

## Point appearance

The measure's row in its axis section on the Style tab carries a **Shape** picker — **Circle**, **Square**, **Triangle**, **Diamond**, or **None** — and a **Trend line** toggle that draws a dashed least-squares regression line through the points.

## Tooltips

The fields the chart draws appear in the tooltip by default. Check or uncheck the query's columns in the **Tooltips** row of the Fields tab.

See [Tooltips](/docs/explore-analyze/charts/configuration/tooltips) for details.