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A/B Testing in Python

bookPreprocessing Data

Imagine that last chapter you read 14 days ago. And you already have the file with all the data fixed during this period for the analyzing results of the A/B test. Now we are going to prepare all data received for the analysis.

So after rereading the task, we can make 2 points:

  • The test was held with the Web devices;
  • The test started after the 2021-01-10 Let's create a new DataFrame that will fit well with our needs.

Use DataFrame.query() function to create new DataFrame with options needed. Go here to learn more about the pandas library.

Tarea

Swipe to start coding

  1. Import the pandas with the pd alias.
  2. Save only 'Web' platform into the new df named df_platform using the DataFrame.query() function.
  3. Save the information fixed only after the '2021-01-10' into the df_ab variable.
  4. Show what is inside the df_ab variable.

Solución

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¿Cómo podemos mejorarlo?

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Sección 3. Capítulo 3
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bookPreprocessing Data

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Imagine that last chapter you read 14 days ago. And you already have the file with all the data fixed during this period for the analyzing results of the A/B test. Now we are going to prepare all data received for the analysis.

So after rereading the task, we can make 2 points:

  • The test was held with the Web devices;
  • The test started after the 2021-01-10 Let's create a new DataFrame that will fit well with our needs.

Use DataFrame.query() function to create new DataFrame with options needed. Go here to learn more about the pandas library.

Tarea

Swipe to start coding

  1. Import the pandas with the pd alias.
  2. Save only 'Web' platform into the new df named df_platform using the DataFrame.query() function.
  3. Save the information fixed only after the '2021-01-10' into the df_ab variable.
  4. Show what is inside the df_ab variable.

Solución

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¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

close

Awesome!

Completion rate improved to 4.55
Sección 3. Capítulo 3
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single

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