Heatmap of philosophy clusters

Clusterdistances Phil

A heatmap displays pairwise distances between thirteen philosophy subfields, using a color gradient from pale yellow to deep blue to indicate similarity. The matrix is symmetrical, with each subfield listed along both axes and a dark diagonal representing zero distance. The visualization uses D3.js version 3.5.6, employing scales and SVG rectangles to render the grid. Data comes from a JavaScript file containing precomputed distance values, and the layout includes rotated text labels and a linear color legend.

84% match

Visualization

This visualization plots the Davies-Bouldin index against the number of clusters for a k-means analysis of philosophy papers, revealing how clustering quality varies with cluster count. The code uses d3.v3 with SVG circles positioned via linear scales, reading data from a CSV file that tracks citation patterns across analytical and continental philosophy journals. A d3.tip tooltip displays exact values on hover, while d3.behavior.zoom enables interactive panning and zooming of the scatterplot. The animation and transitions are handled through d3's built-in transition methods.

Visualization

A zoomable scatterplot displays a Principal Component Analysis of citation data from 2,000 philosophy articles, with points colored by K-Means clusters. The visualization uses D3 v3’s linear scales, axes, and zoom behavior to explore the bidimensional projection. Points are rendered as SVG circles with tooltips via d3-tip, and a button switches the x-axis variable, triggering a transition on the dot transforms. Data is loaded from a CSV file, and the plot includes a categorical color legend.

Heat Map

A 5x5 heat map visualizes numeric values from a CSV file as colored squares, using a quantile scale with a sequential orange colormap to encode values from 1 to 20. The SVG rendering employs d3.csv for data loading, d3.scaleQuantile for color mapping, and d3.axisRight and d3.axisBottom to display axes. A tooltip appears on mouseover, showing the exact value of each cell.

CChai94

Visualization

This interactive scatterplot visualizes a principal component analysis of citation data from 2,000 philosophy articles, with k-means clustering applied to reveal groupings. The D3.js (v3) visualization uses SVG circles positioned via a zoomable, panning coordinate system, with color encoding cluster membership and tooltips showing exact coordinates. Users can click a button to switch the x-axis variable, triggering animated transitions of the data points. The code leverages `d3.scale.linear`, `d3.svg.axis`, `d3.behavior.zoom`, and the `d3.tip` library for interactivity, with data loaded from a CSV file.

heatmap

This heatmap visualizes a co-occurrence matrix of 50 row items by 5 column contrasts, with cell colors encoding log2 ratio values from -3 (blue) to +4 (red). Built with D3 v3 and rendered as SVG with animation, the heatmap supports reordering via hierarchical clustering, probe/contrast name sorting, and interactive row/column label clicks to re-sort cell values. Users can select cells with the mouse, and Alt-clicking enables multiple block selection, with corresponding row and column labels highlighted upon selection.

IIMYin

68% match

Visualization

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.

68% match