Practice Reading External Data - 4.4 | Chapter 4: Understanding Pandas for Machine Learning | Machine Learning Basics
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What command is used to read a CSV file into a Pandas DataFrame?

πŸ’‘ Hint: Think about the function we use to load external data.

Question 2

Easy

What does the head() function do?

πŸ’‘ Hint: It's often used to get a glimpse of the data.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What function is used to load a CSV file into a DataFrame?

  • pd.read_csv()
  • pd.load_csv()
  • pd.import_csv()

πŸ’‘ Hint: Remember, it starts with 'read' and includes 'csv'.

Question 2

True or False: The head() function can be used to view the last few rows of a DataFrame.

  • True
  • False

πŸ’‘ Hint: Think about the direction in which these functions point.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a CSV file named 'sales_data.csv', write Python code that reads the file into a DataFrame and prints both the first and last five rows.

πŸ’‘ Hint: What two methods do we use to inspect both sides of the dataset?

Question 2

If you read a CSV file containing missing values, outline steps you would take using Pandas to handle these values effectively after loading the data.

πŸ’‘ Hint: Consider the implications of missing values in your analysis.

Challenge and get performance evaluation