Visualization

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Last edited Jan 2, 2018

Created on Dec 31, 2017

This interactive scatterplot visualizes a Principal Component Analysis of citation data from 2,000 philosophy articles from the 1990s, with points colored by K-Means clusters. Users can zoom and pan the plot using d3.behavior.zoom and hover over points to see tooltips generated by d3.tip. The visualization is built with D3 v3, rendering SVG circles, and includes a button that switches the x-axis to display carbohydrate values, triggering a transition that updates the axis and dot positions.

AI-generated description

A Principle Component Analysis of the Citation-Data of 2000 Philosophy-Articles from the 90s. Clusters are generated with K-Means.

PerformanceVector: Avg. within cluster similarity: 22.989 Avg. within cluster similarity for cluster 0: 29.944 Avg. within cluster similarity for cluster 1: 39.114 Avg. within cluster similarity for cluster 2: 15.005 Avg. within cluster similarity for cluster 3: 20.072 Avg. within cluster similarity for cluster 4: 31.659 Avg. within cluster similarity for cluster 5: 13.399 Avg. within cluster similarity for cluster 6: 17.724

The Scatterplot is forked from <a href='http://bl.ocks.org/peterssonjonas/'>peterssonjonas</a>'s block: <a href='http://bl.ocks.org/peterssonjonas/4a0e7cb8d23231243e0e'>D3 Zoomable Scatterplot</a>

mit Licensed

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