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A/B Testing in Python
course content

Cursusinhoud

A/B Testing in Python

A/B Testing in Python

1. What is A/B Test?
A/B Test and our GoalMetrics and HypothesisHow Not to Fail a Test
2. The First A/B Test
Data StudyWhat Criterion to ChooseCriterionControl and Test GroupsPlots to CompareIntervals to CompareNow We Can AnswerTo Sum Up
3. Performing One More AB Test
Data StudyPreparationPreprocessing DataChoosing the CriterionCriterionDividing into GroupsComparing GroupsWhat to Do with the ButtonPink or Blue?Upd MetricFinish

book
Preprocessing 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.

Taak

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.

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 3. Hoofdstuk 3
toggle bottom row

book
Preprocessing 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.

Taak

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.

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 3. Hoofdstuk 3
Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Onze excuses dat er iets mis is gegaan. Wat is er gebeurd?
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