In data analysis, one of the most important tasks is to focus on specific data and compare it with the rest of the dataset.
This is where Tableau Sets become very useful. When working with large datasets, it becomes difficult to manually filter and analyze specific groups repeatedly.
Tableau provides a powerful feature called Sets that helps analysts and developers easily create custom groups of data and perform deeper analysis.
A Tableau Set is a custom field that contains a subset of data based on certain conditions or selections. It divides the data into two categories: IN (data included in the set) and OUT (data not included in the set).
This simple concept makes sets very powerful because you can easily compare selected data with the rest of the data.
For example, if you want to analyze the top 10 customers in your business, you can create a set that includes those customers and compare their performance with that of all other customers. Unlike filters, sets allow you to perform comparisons rather than just hide or show data.
In this article, we will understand what Tableau Sets are, how they work, their types, real-time use cases, and how they are different from filters and groups.