Summary
Congratulations to you for completing this chapter. In this chapter, we added many useful tools to our data preprocessing armory, specifically in the data transformation area. We learned how to distinguish between data transformation and data massaging. Furthermore, we learned how to transform our data from numerical to categorical, and vice versa. We learned about attribute construction and feature extraction, which are very useful for high-level data analysis. We also learned about log transformation, which is one of the oldest and most effective tools. And lastly, we learned three methods that are very useful in our arsenal for dealing with noise in data.
By finishing this chapter successfully, you are also coming to the end of the third part of this book – The Preprocessing. By now, you know enough to be very successful at preprocessing data that leads to effective data analytics. In the next part of the book, we will have three case studies (Chapters 15–...
