Summary
We began this chapter with an introduction to relationships, followed by a discussion on joins, and discovered the queries Tableau uses to generate the respective data. Unions come in handy if identically formatted data, stored in multiple sheets or data sources, needs to be appended.
Then, we reviewed data blending to clearly understand how it differs from joining. We discovered that the primary limitation in data blending is that no dimensions are allowed from a secondary source; however, we also discovered that there are exceptions to this rule. We also discussed scaffolding, which can make data blending surprisingly fruitful.
Finally, we discussed data structures and learned how pivoting can make difficult or impossible visualizations easy. Having completed our second data-centric discussion, in the next chapter, we will discuss table calculations, partitioning, and addressing.
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