Practice Visualization with Seaborn - 3 | Data Visualization | Data Science Basic
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

Visualization with Seaborn

3 - Visualization with Seaborn

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

What is the purpose of a histogram?

💡 Hint: Think about how data is spread out.

Question 2 Easy

How do you create a box plot in Seaborn?

💡 Hint: What parameters are needed for categories?

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does Seaborn primarily enhance compared to Matplotlib?

Functionality
Aesthetics
Speed

💡 Hint: Think about the visual output of the plots.

Question 2

A box plot displays which of the following?

True
False

💡 Hint: Think about the five-number summary.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset with employee salaries across different departments, create and interpret box plots to discuss which department has the most variation in salaries.

💡 Hint: Check for the height of the boxes and where the whiskers extend.

Challenge 2 Hard

Analyze a count plot generated for a survey on preferred colors. Discuss the implications of uneven distribution across colors.

💡 Hint: Focus on the tallest bars and their market implications.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.