Summary

Up until this chapter, we looked at data that was, for the most part, well structured and easy to use. In this chapter, we considered what constitutes good structure and how to deal with poor data structure. Good structure consists of data that has a meaningful level of detail and that has measures that match that level of detail. When measures are spread across multiple columns, we get data that is wide instead of tall. You've got some experience now in applying various techniques to deal with data that has a wrong shape or has measures at the wrong level of detail. Tableau gives you the power and flexibility to deal with these structural issues, but it is far preferable to fix the data structure at the source.

In the next chapter, we'll continue looking at some advanced and powerful techniques. These will be exciting and fun. Instead of looking at how to fix problems, we'll look at some tips and tricks to expand your creativity and take Tableau to the next level...