Here is a short video that demonstrates how you can get some insights from the history of a Git repository using Jupyter Notebook, Python, pandas and matplotlib:

We take a look at

  • exporting the necessary data
  • reading in the dataset
  • identifying the TOP 10 authors

We also

  • create a pie chart to see from which timezone most commits come from
  • take a look at the hourly working time of the authors

If you find this kind of analysis interesting, check out the Mini-Tutorial!

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Video: Linux Git Log Analysis

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