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Power Pivot Principles: Introducing the MEDIANX Function

14 May 2019

Welcome back to our Power Pivot blog.  Today, we look at the MEDIANX function.


Last week we introduced the MEDIAN function, so this week we thought it would be appropriate to talk about the MEDIANX function.  That’s right: this one is ‘X’ rated.  We detailed what ‘median’ means and how to use the MEDIAN function in last week’s blog here.

Just like the MEDIAN function, the MEDIANX function also returns the median value from a column of values in a data table.  The ‘X’ at the end of the function name highlights the fact that MEDIANX works on a record by record basis, rather than in aggregation (similar to SUMX).  Also, unlike the MEDIAN function, the MEDIANX function does not ignore blanks and it also has different inputs.

The MEDIANX function uses the following syntax:

MEDIANX( <table>, <expression> )

MEDIANX requires a <table> input.  This means that we can embed another function that returns a table, including the FILTER function, followed by an <expression> for the MEDIANX function to work.

Let’s take a look at an example.  We have assigned Australian states to each value: 

Let’s create four measures that will calculate the median value for each state.  For example, for NSW the measure would be:





                                    ,MedianX_Example[Data Set]


Looking at our PivotTable:

We can create measures for the rest of the states (these measures are similar, we just have to change the “NSW” text in the measure above to the new state), viz.

As we can see, the MEDIANX also sorts the dataset into ascending order before calculating the median value, so it will ignore any sorting that we apply to the column.

Let’s see what happens when we add some blank values into our data set:

Refreshing the same PivotTable, the median for NSW has changed from 151 to 127, this is because the MEDIANX function DOES NOT ignore blank values.

It is important to keep that in mind when using the MEDIANX.  It does not ignore blank values in the dataset.  Therefore, be sure to clear out blank values in the dataset before calculating the median value.

That’s it for this week, tune in next week for more Power Pivot! Until then, happy pivoting!


Stay tuned for our next post on Power Pivot in the Blog section.  In the meantime, please remember we have training in Power Pivot which you can find out more about here.  If you wish to catch up on past articles in the meantime, you can find all of our Past Power Pivot blogs here.