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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the df.shape function return?
💡 Hint: Think about how many rows and columns the data has.
Question 2
Easy
Which library in Python is primarily used for data visualization?
💡 Hint: Remember the library that starts with 'M' for graphs.
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 does Exploratory Data Analysis (EDA) primarily help with?
- Building models
- Understanding data
- Cleaning data
💡 Hint: Think about the first step of data examination.
Question 2
True or False: Visualization is not important in EDA.
- True
- False
💡 Hint: Recall the various visual tools we've discussed.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with age and salary, create a scatter plot using Matplotlib. Interpret the correlation and identify whether it is strong or weak.
💡 Hint: Look for the direction and clustering of points when you plot.
Question 2
Using a dataset of your choice, generate a full EDA report with Pandas Profiling. List the insights you gather from this report.
💡 Hint: Pay attention to the sections concerning missing data and distributions.
Challenge and get performance evaluation