Ever asked yourself whether your data is clean enough to be analyzed? I guess everyone has! That's why the next pages are dedicated to getting your data ready.
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 Tableau's data handling engine, hyper
- The Tableau data handling engine
- Hyper takeaways
- Data mining and knowledge discovery process models
- CRISP-DM
- Focus on data preparation
- Surveying data...
