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!
Video: Linux Git Log Analysis