In the last session, we spoke about creating data tables. One way to make data tables more interesting quickly is conditional formatting.
By formatting data tables one can highlight the extreme points in a table, like the highest and the lowest values, etc. The visualization that results from this is called a heat map. Usually, heat maps are used to show areas of peaks and valleys in a data distribution. Note that you can only use one continuous variable to create a heat map because one value is being compared with all the other values. In the video given below, our faculty will demonstrate how to create a heat map.
In this video, the expert demonstrated a way to create heat maps. He also spoke about creating custom data hierarchies. In this case, he had created a hierarchy of categories and subcategories. You also saw Sean adding a filter to make the plot interactive.
Think of all the capabilities of Tableau that you have lent so far. You can stack all the different capabilities and superpowers to build a visualization that works for your audience.
Now, before you move onto the next segment, try attempting the questions given below. You will use the superstore data set to the question.
In the next segment, you will learn about scatter plots.