Report cumulative stats on clones and views #31
Conversation
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Feel free to squash and merge rather than keep the history of the multiple commits. |
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A few images of the new graphs: |
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Hey thank you for the pull request and proposal @mfry-ll! Can you maybe describe why the cumulative graphs add value, from your point of view? In my opinion, the cumulative count over time is not so much an intuitive representation because the interesting information content is in the slope of that plot. That is why we like to look at the derivative -- where we see how a rate evolves over time. |
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@jgehrcke Having a cumulative view provides a complementary perspective to the rate view. Even though both rate and cumulative plots provide all the necessary data (cumulative data can be obtained by integrating the rate plot, and rate data can be obtained by taking the derivative of the cumulative plot), it's convenient to have both plots. For example, if I want to know exactly how many clones have occurred since a release, that's much easier to see with the cumulative plot, rather than trying to mentally (and inaccurately) integrate that data from the rate plot. |
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@mfry-ll did you see that in the 1.3.0 release I added the cumulative numbers to the report? I thought that is a nice middle ground, does not consume as much space as the plots that you added, but still puts the information into the report. |
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Closing this for now. Happy to discuss further. |
This PR changes
analyze.pyin order to produce reports that include cumulative graphs on the unique/total views/clones.