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Basic Scatter Plot

✓ Published0🌍 Public
Aanqi-lu
Last edited Oct 24, 2017
Created on Oct 23, 2017

This interactive scatter plot visualizes the Wisconsin breast cancer dataset, displaying two distinct clusters corresponding to benign and malignant diagnoses. The visualization is built with D3 v4 and rendered as an SVG, featuring brush-and-zoom functionality that allows users to explore the data by panning and scaling the view. Each point represents a cell nucleus, colored to differentiate the two diagnostic categories (B for benign, M for malignant), and the plot includes a color legend for reference. The implementation is based on Mike Bostock's Brush & Zoom II example and Curran's Stylized Scatter Plot with Color Legend.

AI-generated description

An example of brush and zoom of a scatter plot.

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.

forked from <a href='http://bl.ocks.org/anqi-lu/'>anqi-lu</a>'s block: <a href='http://bl.ocks.org/anqi-lu/fc7b249b6a5ba80ffbd599657f150ab2'>Scatter Plot - Breast Cancer</a>

Learned from Mike Bostock 's Brush & Zoom II

mit Licensed

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