Tableau 2019.3 saw the introduction of Explain Data, which provides AI-driven context for your data that’s available with the click of a button! To access the Explain Data insights, hover over a data point of interest and then click the light bulb icon that appears along with the tooltip command buttons. Tableau claims to analyze hundreds of explanations in the background and presents what it believes to be the most relevant when you open the insights.
To illustrate, let’s finally investigate what’s happening with the Sample Superstore’s highest selling yet unprofitable customer, Sean Miller. As you can see on the following scatter plot of all 793 customers in the database, Sean is an outlier on the x-axis, which is great, but he’s below the zero line on the y-axis for Profit:
For more context on what might be causing this dimension member to perform this way, click the data point and then click the light bulb icon. Alternatively, you can right-click the data point and then, on the menu that opens, choose Explain Data:
After briefly analyzing the data, Tableau displays the performance for the dimension member along with some possible explanations:
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