Test your knowledge
- Why is it important to explore associations between variables in data analysis?
- What are the different types of associations between variables?
- How can we measure the strength and direction of an association between numeric variables?
- What are Cramér’s V coefficient, Theil’s U uncertainty coefficient, and Pearson’s correlation ratio, and how are they used in analyzing associations between categorical and numeric variables?
- How can we use correlation coefficients to identify key predictors in a dataset?
- How can we visualize associations between variables?
Learn more on Discord
To join the Discord community for this book – where you can share feedback, ask questions to the author, and learn about new releases – follow the QR code below:
