# How I Decoded My Apple Watch Metrics: Taking a Look At The Raw Numbers (Part 2)

Page: https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564/how-i-decoded-my-apple-watch-metrics-taking-a-look-at-the-raw-numbers-part-2
Text version: https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564/how-i-decoded-my-apple-watch-metrics-taking-a-look-at-the-raw-numbers-part-2.md
Podcast: [Data Science Tech Brief By HackerNoon](https://stenobird.com/podcast/data-science-tech-brief-by-hackernoon-6367564)
Published: 2026-05-09T16:00:50+00:00
Episode link: https://share.transistor.fm/s/e0488ba2
Audio file: https://media.transistor.fm/e0488ba2/7ee7086a.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/data-science-tech-brief-by-hackernoon-6367564/episodes/how-i-decoded-my-apple-watch-metrics-taking-a-look-at-the-raw-numbers-part-2
Duration seconds: 219

## Resource

This story was originally published on HackerNoon at: https://hackernoon.com/how-i-decoded-my-apple-watch-metrics-taking-a-look-at-the-raw-numbers-part-2 . Learn how to parse Apple Health XML & GPX files. A technical guide to "streaming" large CDA files and extracting workout kinematics using Python. Check more stories related to data-science at: https://hackernoon.com/c/data-science . You can also check exclusive content about #data-science , #python-notebook , #python , #apple-watch , #apple-health , #prediction-delta , #health-data , #apple-wearable-data , and more. This story was written by: @farzon . Learn more about this writer by checking @farzon's about page, and for more stories, please visit hackernoon.com . Exporting Apple Health data results in massive, messy XML files that are difficult to process. By using a "streaming" parser to filter specific LOINC codes and extracting GPS kinematics from GPX files, I converted 300MB of raw records into clean CSVs. This structured data is now ready to be fed into a custom machine learning model to reverse-engineer VO2 Max.

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## Transcript

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