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 folks, I must be having a brain fart today because my question seems so basic.
I have transactional level sales data that looks like any other sales data - customer names, line item numbers, regional info, sales, discounts, profit, item number, etc. The data are broken out into line item level of detail meaning I have multiple rows of data for each sales order number. All I want to do is analyze my data for sales orders that are below $1,000,000 total value. Then I want to analyze my data for sales orders that are between $1,000,000 and $5,000,000. Lastly I want to analyze my data for sales orders that are greater than $5,000,000. What is the easiest way to do this? I do not need enything exotic.
Putting Sales Order# in a filter and filtering the Sales Order# on sum of Total Revenue = "what ever value I need" would do the trick.
Thanks!
Solved! Go to Solution.
Hello @amitchandak , I figured it out! I created a calculated column with the following code
@Frenchtom811 , if you want to bucket data after adding up, means bucket on the measure you need to do dynamic segmentation or binning
Refer my Video: https://youtu.be/CuczXPj0N-k
or
https://www.daxpatterns.com/dynamic-segmentation/
https://radacad.com/grouping-and-binning-step-towards-better-data-visualization
Hello @amitchandak and thanks for your response. These solutions look promising but also very complicated. All I am really trying to do is group my sales orders into 3 categories as described in the original post. Is there a simple DAX expression I can write that will group my sales order numbers into one of 3 categories based on total sales order value? I need to slice and filter on these 3 groups so that I can analyze the sales order profiles (customer types, products, profit, etc.) Creating a separate bin table that has no relation to my sales table means that I cannot filter/slice my sales table using bins defined in the bin table.
@Frenchtom811 , if you need bucket on the measure (means after aggregating the data) , I doubt there is not simple way.
If it is on the line level data, we can always create a new column
New bucket column =
Switch( True() ,
[sale] < 50000, " less than 50K",
[sales] <100000, " from 50K to 100K",
//you can add more
"Others" //default
)
Hello @amitchandak , I figured it out! I created a calculated column with the following code
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 |
---|---|
43 | |
23 | |
21 | |
15 | |
15 |
User | Count |
---|---|
45 | |
31 | |
30 | |
18 | |
17 |