Summary
Data is everywhere and it is all around us. In these nine chapters, we have learned about how data from different types and sources can be cleaned, corrected, and combined. Using the power of Python and the knowledge of data wrangling and applying the tricks and tips that you have studied in this book, you are ready to be a data wrangler.