Practice Data Manipulation - 9.5 | 9. Data Analysis using Python | CBSE 12 AI (Artificial Intelligence)
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Data Manipulation

9.5 - Data Manipulation

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

How do you select a single column called 'Age'?

💡 Hint: Think about how to retrieve an element in a structure.

Question 2 Easy

What syntax do you use to filter rows with Age exceeding 30?

💡 Hint: Remember, conditions are set between square brackets.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which method is used to filter DataFrame in Pandas?

df.query()
df.filter()
df[df['column'] > value]

💡 Hint: Think about how to specify rows based on conditions.

Question 2

True or False: You can select multiple columns using single brackets.

True
False

💡 Hint: Remember the distinction between single and double brackets.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a function to select students who scored above the average mark and sort them by age.

💡 Hint: Combine calculating the mean with filtering in one go, remember function design.

Challenge 2 Hard

Using a DataFrame, create a new DataFrame containing only rows where 'Name' starts with 'A.'

💡 Hint: String operations will help you in filtering by conditions.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.