All About Data – Getting Your Data Ready
Ever asked yourself whether your data is clean enough to be analyzed? It's likely that everyone who works with data has, which is why this chapter is dedicated to getting your data ready for analysis, otherwise known as data cleaning.
The first part of this chapter is theory-oriented and does not include exercises. A careful reading of this information is encouraged, since it provides a foundation for greater insight. The latter portion of the chapter provides various exercises specifically focused on data preparation.
Now let's dive into this fascinating topic with the goal of enriching our understanding and becoming ever-better data stewards.
In this chapter, we will discuss the following topics:
- Understanding Hyper
- Data mining and knowledge discovery process models
- CRISP-DM
- Focusing on data preparation
- Surveying data
- Cleaning messy data
Since Tableau Desktop 10.5 has been on the market for some time, you may already have heard of Hyper. Regardless of whether you have or not, continue reading for a primer on this useful tool!
