Based on 4 years of wrist temperature and manual flow tracking

About this project

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Hi, I'm Phoebe! I'm a data engineer. You might have found this project at my personal site or from my LinkedIn. I created this project to explore how well my Apple Watch wrist temperature data corresponds with typically expected patterns in temperature and fertility cycle phases. I perform an exploratory analysis here, comparing the resulting insights with various fertility science principles. The major factor of interest is that the "gold standard" for temperature in the domain of women's health is basal body temperature (BBT) which is taken internally, whereas Apple Watch measures external wrist temperature, which is why I want to test how well my personal data fits these basic principles.

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📁 About the Data

Source: Apple Health exports for wrist temperature and menstrual flow

Time Period: Oct 2022 - Jan 2026

Credit to Simple Health Export CSV for iOS by Eric Wolter for providing a way to export selective datasets as CSV instead of Apple’s default XML.

🔍 Key Findings

• Temperature readings follow a clear bimodal distribution.
• Per cycle, average temperature undergoes a clear shift around the same cycle dates, indicative of a cycle phase change.

📊 Visualizations

📓 Jupyter Notebook