Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi Experts,
I want to calculate mode of value column of summarized table : For example am using below dax to get the table summarized, summarized dax and summarized table is below.. now I want to calcualte mode " Count of order by customer"
summarized_Table = summarize('Sales','Sales'[CustomerKY+Date]),"Count_Freq",CALCULATE(COUNT('Sales'[CustomerKY+Date]),
ALLEXCEPT('Sales','Sales'[CustomerKY+Date]),FILTER('Sales','Sales'[SalesValue]>0))
Solved! Go to Solution.
Click query editor-> transform-> split columns by the left most space like below:
Then you can achieve the Customer and Date columns:
Finally modify the dax like below:
summarized_Table = SUMMARIZE ( 'Sales', 'Sales'[Customer], "Count_Freq", CALCULATE ( COUNT ( 'Sales'[Customer] ), ALLEXCEPT ( 'Sales', 'Sales'[Customer] ), FILTER ( 'Sales', 'Sales'[SalesValue] > 0 ) ) )
Community Support Team _ Jimmy Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Click query editor-> transform-> split columns by the left most space like below:
Then you can achieve the Customer and Date columns:
Finally modify the dax like below:
summarized_Table = SUMMARIZE ( 'Sales', 'Sales'[Customer], "Count_Freq", CALCULATE ( COUNT ( 'Sales'[Customer] ), ALLEXCEPT ( 'Sales', 'Sales'[Customer] ), FILTER ( 'Sales', 'Sales'[SalesValue] > 0 ) ) )
Community Support Team _ Jimmy Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Here is a good article on statistical-patterns. Mode is towards the top of the aticle.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
111 | |
95 | |
80 | |
68 | |
59 |
User | Count |
---|---|
150 | |
119 | |
104 | |
87 | |
67 |