Project vision: Chapter layouts for the Notebooks readme file

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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

(pending) Chapter 5: Comparison with other people