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I have a piece of code that I'm adding a feature onto, and I need to test performance before and after the feature addition. So I used a test instance with a large amount of data and triggered the endpoint with and without my feature (flag on and flag off) and now I have a data set with the elapsed times as follows: (The same endpoint was called 100 times parallely for each flag value):

Flag off Flag on
32412 24568
28550 22996
26574 25395
35558 21346
...... .....

What is the best way to show a comparison between the elapsed times? The purpose is to show there was no regression with the flag on.

If there was a better way to conduct the pexperiment, what would it be?

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The best solution depends on whether the values in each column are paired or not.

If paired, a scatterplot with a 1:1 line would be best. Depending on the data distribution, you may want to use some transparency for the points or even consider using a hexbin plot instead.

If unpaired, a split violin plot, or overlapping density plots with some transparency would be good options.

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