6 - Exploratory Data Analysis (EDA)
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Practice Questions
Test your understanding with targeted questions
What does the df.shape function return?
💡 Hint: Think about how many rows and columns the data has.
Which library in Python is primarily used for data visualization?
💡 Hint: Remember the library that starts with 'M' for graphs.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does Exploratory Data Analysis (EDA) primarily help with?
💡 Hint: Think about the first step of data examination.
True or False: Visualization is not important in EDA.
💡 Hint: Recall the various visual tools we've discussed.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
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