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

4.4 - Reading External Data

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

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

💡 Hint: Think about the function we use to load external data.

Question 2 Easy

What does the head() function do?

💡 Hint: It's often used to get a glimpse of the data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

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

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

💡 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

💡 Hint: Think about the direction in which these functions point.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

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

Challenge 2 Hard

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.

💡 Hint: Consider the implications of missing values in your analysis.

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