Overview • What I’ve been tracking and why – Weight (DIY scale, wii balance board, Withings scale) – Calorie/food intake (fatsecret) – Experiments (meal timing, IF, calorie/macro cycling, supplements) • Some tools I have used along the way – Research: mendeley – Visualization: Pandas,matplotlib,d3.js – APIs: fatsecret, withings, fitbit, runkeeper, zeo, bodymedia,etc. • Extras – Video tracking of skills – Devices for instantaneous feedback
Subconscious changes • Tracking weight even without consciously trying to alter it results in measurable change. • Start tracking, weight goes down without conscious effort. • Stop tracking/ track sporadically and weight goes up.
Experiment(calorie cycling for performance) • Dramatically increase total calories on days with gymnastics workouts • Number of repetitions of skill-based exercises greatly increased • Currently trying refined version of the experiment where only carbs are cycled but calories kept as close to constant as possible
pandas • Perfect for time series data • Aligns/re-samples unequally sampled time series for comparison • Rolling window functions for visualizing trends • Nice similarities to R, dataframe,etc.
matplotlib • Easy to use, mature state of development • Integrates seamlessly with pandas • Integrates with ipython notebooks for documenting your experiments
d3.js • Can produce pretty results • Easy to add interactivity • Quick to share with others using bl.ocks.org • Simple compared to raw SVG, but still fairly involved compared to matplotlib
trtg
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