Chapter 8. Advanced Mathematical Concepts
The purpose of this chapter is to explore relationships among your data. It’s very common to want to explore the relationship between two or more numerical metrics, use your time-bound data to determine what may come in the future, or to use recurring relationships among dimensions to further categorize and segment. The aim of this chapter is to explore all of these concepts.
We think this chapter is of utmost importance and designed for the individual most likely to be exploring data—that is, looking for deeper insights or uncovering patterns, which is different from some of the other concepts we’ve explored that are aimed at presenting data with evident insights. In this chapter, some of the charts you will build may not make it to a large audience but will lead to deeper understanding of that data you have to work with.
In the first case study, you will revisit our call center and use Tableau to forecast call volumes to help inform staffing levels.
In the second case study, you will work with digital marketing data to help marketing teams make optimization decisions on which ads should stay and which should go. You’ll also explore the relationship between two marketing metrics to determine if you can estimate an outcome or provide a required minimum to reach a goal.
In the third case study, you’ll explore alternative axes and visualize COVID-19 data. You’ll see how working with different axes types can lead to better data stories.
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