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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a scatter plot?
💡 Hint: Think about the variables being plotted.
Question 2
Easy
Name a library used in Python for data visualization.
💡 Hint: Consider the plotting libraries available in Python.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What type of plot is used to understand the relationship between two variables?
💡 Hint: Consider visualizing two dimensions.
Question 2
True or False: Labeling axes is unnecessary in data visualization.
💡 Hint: Why do we need labels for axes?
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Using a dataset consisting of various years of experience and respective salaries, create a scatter plot and explain how the plot indicates the correlation between the two variables. Discuss any evident outliers.
💡 Hint: Reflect on the data's structure and verify against your assumptions for the model.
Question 2
If given a dataset where there's a nonlinear relationship between experience and salary, what visualization technique would you consider instead of a scatter plot? Justify your response.
💡 Hint: Rethink how data behaves when not following a linear trend.
Challenge and get performance evaluation