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I have a report which looks like this. It's only 3 months worth of data at the time. What I'm trying to do is determine the % increase or decrease by row for August vs July and August vs June. I've also included the code used to generate this data. Any help would be greatly appreciated.
Solved! Go to Solution.
see attached for a sample implementation
Hi, @texranger22 ;
You also could create a measure :
Percent =
var _curr=CALCULATE(SUM('Table'[Value]),FILTER(ALL('Table'),[Business Day in Month]<=MAX('Table'[Business Day in Month])&&[Month]=MAX('Table'[Month])))
var _m7=CALCULATE(SUM('Table'[Value]),FILTER(ALL('Table'),[Business Day in Month]<=MAX('Table'[Business Day in Month])&&[Month]=EDATE( MAX('Table'[Month]),1)))
var _m8=CALCULATE(SUM('Table'[Value]),FILTER(ALL('Table'),[Business Day in Month]<=MAX('Table'[Business Day in Month])&&[Month]=EDATE( MAX('Table'[Month]),2)))
return IF(MONTH( MAX('Table'[Month]))=6 , DIVIDE(_m8-_curr,_curr),IF(MONTH(MAX('Table'[Month]))=7,DIVIDE(_m7-_curr,_curr)))
The final show:
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thanks for the response! Much appreciated.
Thank you very much for your help with this. It's exactly what I needed!
BD is business days. I created a separate table from 1-23 for this since we will never have more than 23 business days in a month. In the data below we had $2.2B for the first business day in August. Compared to the first business day in June we are down 11%. Compared to the first business day in July we are up 338%. I am trying to get the +/- % by business day for the cumulative total. Thanks for your assistance with this!
Please provide sanitized sample data in a usable format.
I just sent a copy of the summarized data. What I want to do is compare August business day 1 against June business day 1 and the same for August vs July. It has to be on a cumulative basis though. Again, thank your for any help.
Business Day in Month | 6/1/2022 | 7/1/2022 | 8/1/2022 |
1 | $ 2,461,022,717.00 | $ 499,818,271.00 | $ 2,191,308,412.00 |
2 | $ 3,901,722,283.00 | $ 4,527,941,865.00 | $ 2,515,137,106.00 |
3 | $ 1,294,461,328.00 | $ 2,524,263,159.00 | $ 3,029,697,750.00 |
4 | $ 2,219,754,933.00 | $ 3,122,020,957.00 | $ 1,823,656,097.00 |
5 | $ 3,341,046,886.00 | $ 1,186,696,529.00 | $ 574,709,759.00 |
6 | $ 2,231,004,513.00 | $ 1,829,405,496.00 | $ 1,834,138,878.00 |
7 | $ 2,072,561,137.00 | $ 2,825,871,004.00 | $ 1,924,493,326.00 |
8 | $ 760,458,578.00 | $ 1,978,916,500.00 | $ 2,613,725,353.00 |
9 | $ 1,882,825,484.00 | $ 1,788,825,524.00 | $ 1,593,751,917.00 |
10 | $ 2,725,023,776.00 | $ 904,865,051.00 | $ 845,692,883.00 |
11 | $ 1,289,130,342.00 | $ 1,758,371,910.00 | $ 1,499,204,674.00 |
12 | $ 3,229,116,111.00 | $ 2,938,862,313.00 | $ 2,401,635,782.00 |
13 | $ 1,042,928,982.00 | $ 2,010,728,475.00 | $ 2,155,295,555.00 |
14 | $ 3,481,607,418.00 | $ 1,912,049,282.00 | $ 1,828,856,159.00 |
15 | $ 1,814,486,750.00 | $ 948,239,244.00 | $ 791,856,701.00 |
16 | $ 2,505,343,970.00 | $ 1,363,658,356.00 | $ 1,542,111,092.00 |
17 | $ 958,792,508.00 | $ 3,171,845,393.00 | $ 2,173,451,595.00 |
18 | $ 2,280,173,745.00 | $ 1,286,514,756.00 | $ 2,004,237,839.00 |
19 | $ 3,056,160,843.00 | $ 2,480,985,280.00 | $ 1,679,763,481.00 |
20 | $ 2,742,235,745.00 | $ 1,296,742,611.00 | $ 1,282,618,364.00 |
21 | $ 2,575,104,791.00 |
what is BD and how does it tie into your calendar table?
Please provide sanitized sample data that fully covers your issue. I can only help you with meaningful sample data.
Please paste the data into a table in your post or use one of the file services like OneDrive or Google Drive.
https://community.powerbi.com/t5/Community-Blog/How-to-provide-sample-data-in-the-Power-BI-Forum/ba-...
Please show the expected outcome based on the sample data you provided. Screenshots of the expected outcome are ok.
https://community.powerbi.com/t5/Desktop/How-to-Get-Your-Question-Answered-Quickly/m-p/1447523
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