Practice Heatmaps - 3.3.1 | 3. Advanced Data Visualization Techniques | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a heatmap used for?

💡 Hint: Think about how colors can show differences in data values.

Question 2

Easy

Name one tool you can use to create heatmaps.

💡 Hint: Consider popular Python data visualization libraries.

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 is the primary purpose of a heatmap?

  • To show trends over time
  • To visualize correlation between variables
  • To create static images

💡 Hint: Think about what type of insights heatmaps provide.

Question 2

True or False: Seaborn is a Python library exclusively for web-based visualizations.

  • True
  • False

💡 Hint: Consider where Seaborn's primary applications are found.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset with at least ten features, create a heatmap using Seaborn to visualize correlations and interpret at least three insights from it.

💡 Hint: Look for color intensity; darker colors indicate stronger correlations.

Question 2

How might you utilize heatmaps to improve feature selection while building a predictive model? Provide a structured approach.

💡 Hint: Consider which features add value versus those that overlap significantly.

Challenge and get performance evaluation