Bucketing Values in DAX
Let’s say I wanted to analyze query performance on my SQL database. I have a log that has all the queries, the time it took them to run and the total records that were returned. I want to look at how the size of the results impacts the performance of the queries. I pull my data into Power Pivot and create a new pivot table where I put “Rows Returned” on rows and “Average Duration” in values. I get the following long results:
These results show me every unique number of rows that was returned and their average duration. The values returned for the “Rows Returned” field range between 0 and 172,028,053. I have added a measure with the query counts to the results showing the vast distribution of queries.
Since there are so many values of “Rows Returned” each individual average is not useful. What I really want to do is bucket the “Rows Returned” into groups and analyze the averages of each group. To do this. I take the following steps:
Add the table to my data model and call it “Buckets”
Add a new calculated column to my QueryLog table called “Row Range” with the following query:
“=CALCULATE(VALUES('Buckets'[Bucket Name]),filter('Buckets', 'Buckets'[start]<=[Rows Returned] && 'Buckets'[end]>=[Rows Returned]))”
Let’s break down this query a little for a single row:
VALUES('Buckets'[Bucket Name]) 
This will return all of the buckets names 

CALCULATE(…) 
Since we are only looking for one value for Bucket Name and don’t want the whole list, so we use CALCULATE to change the filter context. 

filter('Buckets',… && …) 
We want to filter the list by two different fields from the Bucket table, so we use the filter function inside of calculate as well as “&&” to specify an and condition. 

'Buckets'[start]<=[Rows Returned] 
Looks for all rows where the Start column is less than or equal to 515 (Rows Returned) 

&& 'Buckets'[end]>=[Rows Returned] 
And where End greater than or equal to 515 (Rows Returned) 
Now, when I go back to my pivot table I can use “Row Range” on rows and I get: