By: Eric Parker
Eric Parker lives in Seattle and has been teaching Tableau and Alteryx since 2014. He's helped thousands of students solve their most pressing problems. If you have a question, feel free to reach out to him directly via email. You can follow him on LinkedIn or sign up for a Tableau Office Hour to work with him directly!
One of the biggest problems with scatter plots is that all the data points on the chart can be overwhelming without context.
Scatter plots are one of the most powerful visuals you can build in Tableau. They allow you to plot numerous data points to identify correlation and patterns in your data set. However, they can also be overwhelming for an end user.
Using resources like average lines and colors to identify data points with "desirable" versus "undesirable" outcomes can expedite your users' ability to properly comprehend the data.
Ready to learn how a quadrant scatter plot can help you? Check out this video!
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