Practice Visual Exploration with Matplotlib and Seaborn - 6.5 | Exploratory Data Analysis | Data Science Basic
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6.5 - Visual Exploration with Matplotlib and Seaborn

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does a histogram visualize?

💡 Hint: Think about how data is organized in bins.

Question 2

Easy

What is the purpose of a box plot?

💡 Hint: Recall the five-number summary it represents.

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 use of a scatter plot?

  • To find outliers
  • To visualize the spread of a single variable
  • To examine the relationship between two variables

💡 Hint: Think about what two variables you can plot against each other.

Question 2

True or False: Box plots are useful for identifying the mean of a dataset.

  • True
  • False

💡 Hint: Consider what central tendency measures the box plot represents.

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Given a dataset of educational performance with variables like exam scores, study hours, and tutoring sessions, create a comprehensive visualization plan. What visualizations would you include and why?

💡 Hint: Think about how each type of plot adds a layer of understanding to the dataset.

Question 2

Design a study to determine if there’s a correlation between daily screen time and GPA using scatter plots and correlation heatmaps. What insights might you anticipate?

💡 Hint: Consider how visualizing data can highlight potential issues in performance.

Challenge and get performance evaluation