![]() ![]() This is an easy way to count distinct values in the Pivot Table as you only need to add a helper column to the source data. Note: If you’re using Excel 2013 and higher versions, skip this method and move to the next one (as it uses an inbuilt Pivot Table functionality – Distinct Count). Distinct names are listed in column B in the above data set. This can be achieved by removing the duplicate values/names and keeping all the distinct ones. So if a name appears three times, it’s still counted as one distinct name. Unique names are listed in column C in the above datasetĭistinct values/names are those that occur at least once in the dataset. This means that all the names that repeat and have duplicates are not unique. Unique values/names are those that only occur once. ![]() While these may seem like the same thing, it’s not.īelow is an example where there is a dataset of names and I have listed unique and distinct names separately. Count Unique Values (not distinct values) in a Pivot Tableīut before I jump into how to count distinct values, it’s important to understand the difference between ‘distinct count’ and ‘unique count’ Distinct Count Vs Unique Count. ![]() Add Data to Data Model and Summarize Using Distinct Count.Count Distinct Values in Excel Pivot Table. ![]()
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