This document discusses analyzing and visualizing Git commit logs to gain insights from a codebase's history. It describes analyzing commits across dimensions like authors, file extensions, times, and dates to understand contributor patterns and identify opportunities for improvement. Visualizations are shown examining contributions by time zone, hour of day, and day of week to learn about developer workflows and prevent burnout.

1. Analyze and Visualize
Git Log
For Fun and Profit
Raimonds Simanovskis

2. Code Metrics...
Lines of Cyclomatic
code Test complexity
coverage
rails_best_practices
saikuro
flay reek
flog roodi

3. Git Commit Log

4. Mining Rails — Learning
from your App’s Lifeline
Michael Feathers,
Corey Haines
RailsConf 2011

5. Multi-Dimensional
Analysis
Authors
Fil e
es i m
T

6. Multi-Dimensional
Analysis
Dimensions Measures
Authors Commits
File Extension Additions
Commit Deletions
Time Zone
Hour Fil e
Week Day es i m
T

7. Ruby on Rails Git Log

8. Only Ruby (.rb) files

9. DHH contribution

10. DHH contribution

11. Top contributors in 2012

12. 9-to-5 disciplined
developer
Hours of day

13. Don’t burn yourself
Hours of day

14. Textile programmer :)

15. Top all time
Rails code “deleters”
Mikel Lindsaar
“How to (not) kill Rails”

16. Most active pairs

17. Contributions by time
zone 2011

18. Contributions by time
zone 2012

19. Changes per day of week
2004-2011
Friday by hours of day

20. Changes per day of week
2012

21. https://eazyBI.com/
help/git
@rsim