{"version":"1.0","type":"rich","title":"The Hacker School Effect","description":"The visualization tracks the author’s computer usage over time, comparing activity before and during their Hacker School batch. It reveals a clear shift toward coding-focused applications and increased keyboard input during the program. The notebook loads JSON time-tracking data from a Python script, then aggregates per-timestamp records of active windows, key presses, and mouse movement. Using Python’s `json` module and `defaultdict`, it processes the raw logs to compute daily summaries, which are plotted to show the “Hacker School Effect” as a rise in terminal and editor usage alongside a dip in browser time.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-9479578?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}