Tableau Tip: Count Distincts with Google BigQuery

Data

Tableau Tip: Count Distincts with Google BigQuery

by Anthony Ball

Tableau does a great job of connecting to a variety of databases, but it sometimes needs help on the database end to get the results we need to make hot visualizations. One such example showed itself when connecting to Google BigQuery.

The issue? Count distincts. BigQuery doesn’t handle count distincts like one would expect. It gives a statistical approximation (inaccurate) result. Fortunately, there’s a way to fix this. You can pass the logic directly to BigQuery to force it to CountD.

Just follow these steps:

Step 1

In Tableau, create a new calculated field using the dimension you are wanting BigQuery to count distinct:

Tableau: Create Calculated Field 

Step 2

Create a SQL Pass Through calculation:

Tableau: SQL Pass Through calculation

Step 3

Create a calculation using the syntax in the image below. In this example, we are getting a count of unique employees based on the Employee ID field.

Use this syntax

Note: You may now use your newly created calculated field as you would any other; however, given that this is an aggregate measure, it may only be used with other aggregate measures. Also, be mindful that this solution hurts performance (see our Tableau Performance Checklist for best practices), so only use this when you must.

More About the Author

Anthony Ball

Analytics Consultant
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