Exploring more visualizations in Metabase

In this section, we'll learn about some of the other visualizations we can do in Metabase. We'll start with scatter plots.

Creating scatter plots

In the last section, we learned how to create plots with multiple dimensions and metrics. In our plot of order count and order revenue, we noticed the two values had a lot of correlation, or co-movement. A big part of analytics and data science involves looking at correlations, understanding how one metric moves when another one does as well. The type of plot most commonly used to visualize how two metrics correlate is the scatter plot. Let's learn how to make one.

First, let's think of two metrics that we'd like to examine the relationship of. Let's choose to examine how the average review score correlates with the number of reviews for a given menu item. We'd expect that the more reviews a menu item has the higher its average review score. Let's see...