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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.

Compito

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.

Soluzione

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Come possiamo migliorarlo?

Grazie per i tuoi commenti!

Sezione 2. Capitolo 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.

Compito

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.

Soluzione

Switch to desktopCambia al desktop per esercitarti nel mondo realeContinua da dove ti trovi utilizzando una delle opzioni seguenti
Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

close

Awesome!

Completion rate improved to 4.55
Sezione 2. Capitolo 5
single

single

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