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Analyze Your Runkeeper Fitness Data

Import, clean, and analyze seven years worth of training data tracked on the Runkeeper app.

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11 Tasks1,500 XP

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Project Description

With the explosion in fitness tracker popularity, runners all of the world are collecting data with gadgets (smartphones, watches, etc.) to keep themselves motivated. They look for answers to questions like:

  • How fast, long, and intense was my run today?
  • Have I succeeded with my training goals?
  • Am I progressing?
  • What were my best achievements?
  • How do I perform compared to others?

I exported seven years worth of my training data from Runkeeper. The data is a CSV file where each row is a single training activity. In this project, you'll create import, clean, and analyze my data to answer the above questions. You can then apply the same strategy to your training data if you wish!

Project Tasks

  1. 1
    Obtain and review raw data
  2. 2
    Data preprocessing
  3. 3
    Dealing with missing values
  4. 4
    Plot running data
  5. 5
    Running statistics
  6. 6
    Visualization with averages
  7. 7
    Did I reach my goals?
  8. 8
    Am I progressing?
  9. 9
    Training intensity
  10. 10
    Detailed summary report
  11. 11
    Fun facts


Python Python


Data ManipulationData VisualizationProbability & Statistics
Andrii Pavlenko HeadshotAndrii Pavlenko

Project Instructor

Andrii has managed IT teams for "quite a while" where he uses data to guide his decisions. Before that, he received a Masters in Physics and studied the mathematical modeling of physical processes. He is passionate about Python, data visualization, and running with his dog.
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