Gist 8f9cf917c41ea1240a5ea6b149d602dd

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Gist 8f9cf917c41ea1240a5ea6b149d602dd

✓ Published0🌍 Public

Last edited Dec 29, 2021

Created on Dec 29, 2021

This visualization shows how the geographic spread of influencer locations relates to the frequency of their associated topics. It first loads influencer data from a CSV and a separate corpus of organization names, then renders the results using D3’s force-directed simulation to position nodes by influence, with geographic context provided by a d3.geoPath projection. The underlying text analysis relies on reading raw text files, while the visual encoding uses Canvas’s getImageData to sample pixel-level density for heatmapping, and transition.attrTween animates node movement as forces settle. The data source is explicitly read via pandas from the two files, and the rendering approach combines raster canvas operations with SVG overlays for labels and links.

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