Practice Reading Data Files Using Pandas - 4.4 | Data Collection Techniques | Data Science Basic
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4.4 - Reading Data Files Using Pandas

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What function do you use to read a CSV file in Pandas?

πŸ’‘ Hint: Think about the format you're dealing with.

Question 2

Easy

What does df.head() do?

πŸ’‘ Hint: It's great for quick data inspection.

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 method is used to read a CSV file in Pandas?

  • pd.read_csv()
  • pd.load_csv()
  • pd.get_csv()

πŸ’‘ Hint: It's straightforward and begins with 'pd'.

Question 2

True or False: You can load multiple sheets at the same time from an Excel file using Pandas.

  • True
  • False

πŸ’‘ Hint: Consider how sheets are organized in Excel.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

How would you handle a CSV file where the delimiter is a semicolon instead of a comma? Write the code using Pandas.

πŸ’‘ Hint: Look for the parameter that specifies the delimiter.

Question 2

You have a JSON file that contains nested objects. Develop a code snippet to load this file and normalize its structure into a DataFrame.

πŸ’‘ Hint: Think about how you can flatten the JSON data using a specific Pandas function.

Challenge and get performance evaluation