3.4.4. Chapter Summary

  1. Essential Data Wrangling Skills: You will probably never receive “analysis ready” data. It is extremely valuable to know how to wrangle data for effective data analysis

  2. Merging Data: Understanding various types of data joins (left, right, inner, outer) and the significance of merging data correctly, including tips and best practices for merging new variables and the importance of pre-merge preparations.

  3. Handling Missing Data: Real datasets have missing values. We covered some strategies and techniques for dealing with missing data in datasets, including a range of useful Pandas functions tailored for this purpose.

  4. Outlier Detection and Management: Guidance on identifying and handling outliers, exploring methods like winsorizing.

3.4.3. Dealing with Outliers 4. Data on the Web