Зміст курсу

Introduction to Python for Data Analysis

1. Introduction to Python 1/2

First Step in Programming Deal with Variables Practice Math Skills Challenge Deal with Percents How to Attract One User?Challenge Learn Numbers Boolean Numbers Challenge Work with Strings Get Familiar with Lists How to Append New Element?

2. Introduction to Python 2/2

If/Else Challenge If/Elif/Else Challenge For Loop While Loop Challenge

3. Explore Dataset

Data Study Operations with the File How to Explore the Data Sorting Data Max, min, mean, median Challenge Group Data Dive Deeper into Grouping Data Group Data 2.0 Introduction to NumPy Pivot Tables Recall Loops .loc Function Deal with Several Conditions Challenge Visualization: First Steps Dive Deeper into Visualization

4. Becoming an Analyst

Data Study Examine Dataset Challenge СAC 1/2 CAC 2/2 Costly Customers Organic Traffic How Much Do We Earn Is Our Project Profitable? ROI 1/2 ROI 2/2 Visualize ROI

Sorting Data

We need sorting for ease of work.

We can sort our data in 2 ways: ascending sorting and descending sorting.

To perform the ascending sorting, use the following code:

If we want to perform descending, we have to turn off the ascending parameter.

If the parameter inplace is set to True (inplace = True), it will perform the operation inplace. Modify the original DataFrame itself. The return type is None.

Завдання

Swipe to show code editor

Now we are going to practice sorting. We will sort 2 different DataFrame columns using ascending and descending sorting.

Import the pandas using the pd alias.
Perform an ascending sorting by the 'price' column.
Perform a descending sorting by the 'user_id' column.

Перейдіть на комп'ютер для реальної практикиПродовжуйте з того місця, де ви зупинились, використовуючи один з наведених нижче варіантів

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Секція 3. Розділ 4

Sorting Data

We need sorting for ease of work.

We can sort our data in 2 ways: ascending sorting and descending sorting.

To perform the ascending sorting, use the following code:

If we want to perform descending, we have to turn off the ascending parameter.

If the parameter inplace is set to True (inplace = True), it will perform the operation inplace. Modify the original DataFrame itself. The return type is None.

Завдання

Swipe to show code editor

Now we are going to practice sorting. We will sort 2 different DataFrame columns using ascending and descending sorting.

Import the pandas using the pd alias.
Perform an ascending sorting by the 'price' column.
Perform a descending sorting by the 'user_id' column.

Все було зрозуміло?

Дякуємо за ваш відгук!

Секція 3. Розділ 4

Sorting Data

We need sorting for ease of work.

We can sort our data in 2 ways: ascending sorting and descending sorting.

To perform the ascending sorting, use the following code:

If we want to perform descending, we have to turn off the ascending parameter.

If the parameter inplace is set to True (inplace = True), it will perform the operation inplace. Modify the original DataFrame itself. The return type is None.

Завдання

Swipe to show code editor

Now we are going to practice sorting. We will sort 2 different DataFrame columns using ascending and descending sorting.

Import the pandas using the pd alias.
Perform an ascending sorting by the 'price' column.
Perform a descending sorting by the 'user_id' column.

Все було зрозуміло?

Дякуємо за ваш відгук!

We need sorting for ease of work.

We can sort our data in 2 ways: ascending sorting and descending sorting.

To perform the ascending sorting, use the following code:

If we want to perform descending, we have to turn off the ascending parameter.

If the parameter inplace is set to True (inplace = True), it will perform the operation inplace. Modify the original DataFrame itself. The return type is None.

Завдання

Swipe to show code editor

Now we are going to practice sorting. We will sort 2 different DataFrame columns using ascending and descending sorting.

Import the pandas using the pd alias.
Perform an ascending sorting by the 'price' column.
Perform a descending sorting by the 'user_id' column.

Секція 3. Розділ 4