Know Thyself: Introspective Personal Data Mining
summary
Wearable data drives concrete changes: Fitbit step logs, sleep records showing Restless 16 times versus 6, and heart-rate traces with intensity zones reveal why someone wakes tired, loses matches, or improves fitness. A family uses an app with notes to correlate racquetball peaks to wins; one person drops 150+ pounds and moves from prehypertension to normal heart-rate bands over 18 months. Pushes include a 4 million steps family goal, sharing data with clinicians, and using simple analytics to guide behavior.
AI-written summary · about
chapters (5)
- 0:00Introduction
- 2:15What kind of data do you collect
- 3:22Why is it important
- 4:13Create a digital footprint
- 7:30Fitness data
related talks
40mPython For Self-Trackers: How To Become A Data-Driven You
01h 05mWhat the hell am I doing?
16mThe Secret Life of Data - Part 3
26m"Reality Mining for Compan
10mIntelligence in the Age of Plethora
15mThe Secret Life of Data - Part 2
16mYour Mind, Quantified
37mNew Era of Data Insights with Samsung Health
