As discussed previously, Tableau can be effectively used throughout the CRISP-DM phases. Unfortunately, a single chapter is not sufficient to thoroughly explore how Tableau can be used in each phase. Indeed, such a thorough exploration may be worthy of an entire book! Our focus, therefore, will be directed to data preparation, since that phase has historically accounted for up to 60% of the data-mining effort. Our goal will be to learn how Tableau can be used to streamline that effort.
Tableau can be a very effective tool for simply surveying data. Sometimes in the survey process, you may discover ways to clean the data or populate incomplete data based on existing fields. Sometimes, regretfully, there are simply not enough pieces of the puzzle to put together an entire dataset. In such cases, Tableau can be useful to communicate exactly what the gaps are and this, in turn, may create initiative for the organization to more fully populate the underlying...