In this chapter, you learned how to create quick table calculations to add depth and context to your visualizations. You also learned how to edit table calculations, how the different types of table calculations function, and how to address table calculations and create them manually. One of the important features of data analysis is the comparison of a data point to the others around it so that users understand the context of its performance. You learned how to create a basic, and advanced level of detail calculations to aggregate data points that are not visible, and to aggregate at multiple dimensional levels as well.

In the next chapters, which focus on mapping and parameters, we will discuss using many of the concepts that you learned here to give control to your users and illustrate compelling, rich stories with contextually curated visualizations.