Basic Scatter Plot

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Basic Scatter Plot

✓ Published0🌍 Public

Last edited Sep 17, 2017

Created on Sep 16, 2017

This scatter plot visualizes the Wisconsin breast cancer dataset, plotting two key measurements—radius mean and texture mean—for each cell nucleus. Benign and malignant samples are distinguished by color, with a color legend generated using d3-legend. The visualization reveals two distinct clusters corresponding to the diagnostic classes, rendered as SVG circles via D3 v4. The data, originally from the UCI Machine Learning Repository, includes 30 computed features for each nucleus, though only two are shown here to illustrate the separation between benign and malignant cases.

AI-generated description

An example scatter plot with color legend using D3 and d3-legend.

This shows Wisconsin breast cancer dataset. Originally published at UCI Machine Learning Repository: Breast Cancer Wisconsin (Diagnostic) Data Set, this dataset was also published on Kaggle This data set contains information about benign or malignant and ten features computed for each cell nucleus, such as radius, texture, and perimeter.

The data visualization shows these two different clusters(B and M).

Forked from curran 's Stylized Scatter Plot with Color Legend.

mit Licensed

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