Summary
We began this chapter with a discussion of the Tableau data-handling engine. This illustrated the flexibility Tableau provides in working with data. The data-handling engine is important to understand in order to ensure that your data mining efforts are intelligently focused. Otherwise, your effort may be wasted on activities not relevant to Tableau.
Next, we focused on data preparation. We considered using Tableau to survey and also clean data. The data cleaning capabilities represented by the regular expression functions are particularly intriguing and are worth further investigation.
Having completed our first data-centric discussion, we’ll continue with Chapter 3, Using Tableau Prep Builder, looking at one of the newer features Tableau has brought to the market. Tableau Prep Builder is a dedicated data pre-processing interface that is able to greatly reduce the amount of time you need for pre-processing. We’ll take a look at cleaning, merging, filtering, joins, and the other functionality Tableau Prep Builder has to offer.
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