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,
I have a column with 3 different entries in it (Early, Late & On-Time). I'm looking to count the number of entries for each(Early, Late & On-time) and then have that as a percentage of the total amount of entries (i.e. 100 entries, 10 are on time, therefore return 10%) on a monthly basis graph.
Is this possible..?
In the first graph, the percentage of cases is divided on the whole.
But I am looking for something like the second image for evry month.
Solved! Go to Solution.
Hi,
You may download my PBI file from here.
Hope this helps.
Sorry it didn't worked for me. Could you please explain the dax formula.
Heer is the sample Data. Due to the security reasons, I cannot share the origincal data but I have made some dummy data which looks similar to the orginical
Unique ID | ID number | Date of surgical Start | Actual vs Scheduled Range |
23159 | 1 | 2/12/2021 | On-time |
12359 | 2 | 2/12/2021 | Delayed |
56953 | 2 | 12/12/2021 | Delayed |
85412 | 3 | 4/11/2021 | Delayed |
74569 | 4 | 2/11/2021 | On-time |
74523 | 5 | 2/10/2021 | Delayed |
74521 | 5 | 2/10/2021 | early |
95632 | 6 | 2/10/2021 | early |
45231 | 7 | 9/10/2021 | On-time |
45284 | 8 | 10/10/2021 | Delayed |
54165 | 9 | 12/10/2021 | early |
45213 | 9 | 4/16/2021 | Delayed |
Here is the graph which i am able to get.
In the image, if you see september, 14.33% of delayed, 0.28% of Early & on-time. I want it to be 96.29% of delayed & 1.85% of Early& on-time.
Th output image you have provided is exactly what i am looking for my graph. However, I didn't understand what fields you are using.
Appreciate your help.
Hi,
You may download my PBI file from here.
Hope this helps.
Without data it is tough to do the measure ... This is what I assume you need and providing the measure details and steps.
Sample data
what you have already is simple clustered column chart, with % of Grand Total chart
What you want is % of Total within Group ... by month and category
a) Measure
% of Total within Group =
VAR _Grp = values(Table3[Date].[MonthNo])
VAR _val = CALCULATE( sum(Table3[Total Entries]), ALLEXCEPT(Table3, Table3[Name]), _Grp)
RETURN divide (sum(Table3[Total Entries]), _val)
b) clustered column chart
c) output
Hope this helps!
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 |
---|---|
114 | |
100 | |
78 | |
75 | |
52 |
User | Count |
---|---|
144 | |
109 | |
108 | |
88 | |
61 |