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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the df.head() function do?
💡 Hint: Think about its purpose in exploring the dataset.
Question 2
Easy
What information does df.shape provide?
💡 Hint: Remember, it's a tuple.
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 does df.tail() do?
- Displays all rows
- Shows the first five rows
- Displays the last five rows
💡 Hint: Think about what you want to see from the bottom of the dataset.
Question 2
Does df.describe() provide categorical data information?
- True
- False
💡 Hint: Focus on the type of analysis `describe` performs.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a DataFrame with 5000 rows and 7 columns. After performing df.info(), one column shows 'object' data type while the others are 'int64'. What does this tell you?
💡 Hint: Consider why data types matter in analysis.
Question 2
If df.describe() shows a high standard deviation for a column, what might that imply about the data?
💡 Hint: Think about what standard deviation reveals about data distribution.
Challenge and get performance evaluation