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A/B Testing in Python

bookPlots to Compare

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.

Taak

Swipe to start coding

  1. Build the distpot using the seaborn library for the df_control.
  2. Build the distpot using the seaborn library for the df_test.

orange color - test group, blue color - control group.

Oplossing

Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 2. Hoofdstuk 5
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bookPlots to Compare

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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.

Taak

Swipe to start coding

  1. Build the distpot using the seaborn library for the df_control.
  2. Build the distpot using the seaborn library for the df_test.

orange color - test group, blue color - control group.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 2. Hoofdstuk 5
single

single

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