Goofing Off with Fun (Big) Data
summary
Builds two playable demos and reports what actually works: a Bosch-bot heatmap of most-liked zooms (data pulled with twint + pandas scrape, image registration failed with OpenCV so coordinates come from Photoshop), served as a leaflet tiled map of Bosch painting using gdal2tiles; and a poem-remixer using gensim Word2Vec models (Project Gutenberg corpora), UMAP, Plotly and a painful React UI. Encounters: 223MB Wikipedia image, Pillow decompression limits, crashed alignment attempts, celebrity retweet skews top‑10 counts, final apps are rough but demonstrably functional.
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chapters (15)
- 0:00Introduction
- 2:15Analyzing Twitter data
- 7:17Big image visualization
- 9:46Leaflet.js for mapping
- 13:25Expanding data analysis
- 17:00word2vec with Gutenberg
- 22:49Chaining word2vec
- 26:54Comparing word2vec models
- 28:22Remixing poetry
- 34:19React app for replacement
- 37:10Reflections on React
- 41:30Finding creative datasets
- 45:16Artistic data projects
- 47:46Ethics in side projects
- 48:51Sharing imperfect work
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