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

4.4 - Reading Data Files Using Pandas

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

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

💡 Hint: Think about the format you're dealing with.

Question 2 Easy

What does df.head() do?

💡 Hint: It's great for quick data inspection.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What method is used to read a CSV file in Pandas?

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

💡 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

💡 Hint: Consider how sheets are organized in Excel.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Look for the parameter that specifies the delimiter.

Challenge 2 Hard

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

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

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