Зміст курсу
The Art of A/B Testing
The Art of A/B Testing
Challenge: Descriptive Stats
We will remind you of some descriptive statistics:
- count - the number of observations in the sample;
- mean - the sum of the values of all observations divided by their number;
- std - the square root of the variance, which characterizes the degree of deviation of the data from the average value of the sample;
- median - central value that divides the sample into two equal parts;
- min - the smallest sample value;
- max - the largest sample value.
Swipe to show code editor
In this task, you need to calculate descriptive statistics and display the result. Finding descriptive statistics is an important part of A/B testing because they provide summary information about the sample. We will use this information in the future.
- Import the
pandas. - Read files.
- Calculate descriptive statistics.
- Concat the results of aggregations.
- Print the results.
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівДякуємо за ваш відгук!
Challenge: Descriptive Stats
We will remind you of some descriptive statistics:
- count - the number of observations in the sample;
- mean - the sum of the values of all observations divided by their number;
- std - the square root of the variance, which characterizes the degree of deviation of the data from the average value of the sample;
- median - central value that divides the sample into two equal parts;
- min - the smallest sample value;
- max - the largest sample value.
Swipe to show code editor
In this task, you need to calculate descriptive statistics and display the result. Finding descriptive statistics is an important part of A/B testing because they provide summary information about the sample. We will use this information in the future.
- Import the
pandas. - Read files.
- Calculate descriptive statistics.
- Concat the results of aggregations.
- Print the results.
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівДякуємо за ваш відгук!
Challenge: Descriptive Stats
We will remind you of some descriptive statistics:
- count - the number of observations in the sample;
- mean - the sum of the values of all observations divided by their number;
- std - the square root of the variance, which characterizes the degree of deviation of the data from the average value of the sample;
- median - central value that divides the sample into two equal parts;
- min - the smallest sample value;
- max - the largest sample value.
Swipe to show code editor
In this task, you need to calculate descriptive statistics and display the result. Finding descriptive statistics is an important part of A/B testing because they provide summary information about the sample. We will use this information in the future.
- Import the
pandas. - Read files.
- Calculate descriptive statistics.
- Concat the results of aggregations.
- Print the results.
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівДякуємо за ваш відгук!
We will remind you of some descriptive statistics:
- count - the number of observations in the sample;
- mean - the sum of the values of all observations divided by their number;
- std - the square root of the variance, which characterizes the degree of deviation of the data from the average value of the sample;
- median - central value that divides the sample into two equal parts;
- min - the smallest sample value;
- max - the largest sample value.
Swipe to show code editor
In this task, you need to calculate descriptive statistics and display the result. Finding descriptive statistics is an important part of A/B testing because they provide summary information about the sample. We will use this information in the future.
- Import the
pandas. - Read files.
- Calculate descriptive statistics.
- Concat the results of aggregations.
- Print the results.
Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантівПерейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів