Generate scatter plot

Plot paired observations to reveal correlation, clusters, and outliers.

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ToolScatter Plot Generator
Input
Output
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Preview

How it works

Each observation becomes a point positioned by independent x and y scales; optional color or size channels encode additional variables. The plot preserves individual observations rather than aggregating them into bins.

  • Independent numeric axes expose relationships without assuming a formula.

Worked example

Height vs Weight
Generate a scatter plot of height vs weight data
Input
											Title: Height vs Weight
X label: Height (cm)
Y label: Weight (kg)
Points: [{"x":160,"y":55},{"x":170,"y":65},{"x":175,"y":70},{"x":180,"y":80},{"x":165,"y":60}]
Width: 500
Height: 400
Color: #4e79a7
Point size: 5
Output

When to use this

Analytics, experiments, and predicted-versus-measured quality reviews use scatter plots.

Edge cases

  • A categorical value needs an encoding before it can use a numeric axis.
  • Overlapping points can hide density without transparency or jitter.
  • A logarithmic axis cannot display zero or negative values.