Architectures for Exploring Your Personal Data
summary
Project assembles social exports: a Twitter ZIP with 4,000 tweets as CSV and HTML, LinkedIn archives with click‑through logs, and Google bundles. Workflow uses OpenOffice Calc to inspect, generates word clouds and interactive visuals with Bokeh, and manages dependencies via Anaconda. Storage sits on an encrypted hard drive and a 4 GB USB; initial Twitter export takes ~1–2 hours then subsequent downloads drop to minutes. The proposal is to shift control using decentralized tools like IPFS and the my little data in a big data world approach.
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chapters (9)
- 0:00Introduction
- 4:25Motivation for personal data
- 9:11Accessible data analysis
- 13:32Beginner data challenges
- 22:07Personal data storage history
- 28:42Audience data experiences
- 31:26Future of data privacy
- 38:40Blockchain privacy solutions
- 40:03Q&A
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