Practice Filtering Data - 9.5.2 | 9. Data Analysis using Python | CBSE 12 AI (Artificial Intelligence)
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Filtering Data

9.5.2 - Filtering Data

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

Write a command to filter a DataFrame called 'df' for rows where 'Age' is greater than 20.

💡 Hint: Use a comparison operator on the 'Age' column.

Question 2 Easy

How can you check which students are younger than 18 from the same DataFrame?

💡 Hint: Remember to use the less than operator!

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What method is used to filter rows in a DataFrame?

Pandas Filter
Boolean Indexing
Row Selector

💡 Hint: Think about conditional selection.

Question 2

True or False: To filter data, we can use conditions based on multiple columns.

True
False

💡 Hint: Consider how you would select data based on more than one criterion.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a dataset of sales transactions. Write a command to filter the dataset to show transactions greater than $200 and with a quantity sold over 5.

💡 Hint: You'll need to combine two conditions to achieve this filtering.

Challenge 2 Hard

Given a DataFrame 'df' with various student data, write a logical statement to filter students who are between 18 and 30 years old and have grades higher than 80.

💡 Hint: Make sure to include all three conditions appropriately.

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