Project vision: Chapter layouts for the Notebooks readme file #4
Description
Project vision
Chapter 1: Data retrieval from fitbit API
- Preliminaries and API with
curl - Request All Intraday Data
- Merge Daily JSON into pandas
DataFrames - Get Exercise Logs
- Add Exercise Flags to Intraday TimeSeries
- Get Weight Logs (with fitbit Aria)
- Make Weight Timeseries
Chapter 2: Exploratory analysis and plotting
- Explore exercise as a mask layer
- How similar are your patterns of daily movement?
- What's the best similarity measure for time series data?
Chapter 3: Advanced data science and analytics
- What is the characteristic timescale of weight gain/loss?
- Can you see a correlation between exercise and weigh gain/loss?
- Can you see intraday weight gain/loss?
- Reverse engineering the fitbit resting heart rate
- What's the best way to measure resting heart rate, and how precise can it be?
- Can you build a predictive model for resting heart rate?
- How does resting heart rate scale with weight?
- What's the probability of waking up as a function of time in the night?
Chapter 4: Cross-matching with external data sources
- Fetching Strava data
- Fetching google maps location data