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 thepandaslibrary.
Swipe to start coding
- Import the
pandaswith thepdalias. - Save only
'Web'platform into the new df nameddf_platformusing theDataFrame.query()function. - Save the information fixed only after the
'2021-01-10'into thedf_abvariable. - Show what is inside the
df_abvariable.
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Completion rate improved to 4.55Preprocessing 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 thepandaslibrary.
Swipe to start coding
- Import the
pandaswith thepdalias. - Save only
'Web'platform into the new df nameddf_platformusing theDataFrame.query()function. - Save the information fixed only after the
'2021-01-10'into thedf_abvariable. - Show what is inside the
df_abvariable.
Рішення
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівДякуємо за ваш відгук!
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