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I advise you to compare 2 groups from the A/B using the criterion and other comparing methods. For example, we can build 2 distplots:
- One distplot for the control group;
- The second one for the test group.
After building plots, we can't say if we can believe our A/B test, but we can see approximately what results we will receive.
Swipe to start coding
- Build the distpot using the
seaborn
library for thedf_control
. - Build the distpot using the
seaborn
library for thedf_test
.
orange color - test group, blue color - control group.
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I advise you to compare 2 groups from the A/B using the criterion and other comparing methods. For example, we can build 2 distplots:
- One distplot for the control group;
- The second one for the test group.
After building plots, we can't say if we can believe our A/B test, but we can see approximately what results we will receive.
Swipe to start coding
- Build the distpot using the
seaborn
library for thedf_control
. - Build the distpot using the
seaborn
library for thedf_test
.
orange color - test group, blue color - control group.
Løsning
Tak for dine kommentarer!
Awesome!
Completion rate improved to 4.55single