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.
Hello, I have table like this:
Column1 | ID |
15 | 1 |
15 | 2 |
21 | 1 |
15 | 2 |
Text1 | 1 |
Text1 | 2 |
I want to compare column 1 value if ID is 1 and 2 and then get how many % of rows are same.
In this case result should be 66,6%.
It should be in DAX.I have about 70 columns which i want to compare on ID 1 and 2, so i cant use Custom column with power M for this. There will be huge numbers of columns.
Can you help me with this please?
Solved! Go to Solution.
Hi @antontirol ,
We can do some transformations in Power Query Editor and create a measure to meet your requirement.
1. We need to get the rank in each group. So we need to group the ID and add an index column in it.
2. Then we can copy the same table, one filters the ID to 1, another filters the ID to 2.
3. At last we need to merge table and table 2, then add a conditional column.
4. Then we need to create a measure to get the result.
Measure = DIVIDE(SUM('Table'[Custom]),COUNTROWS('Table'))
If it doesn’t meet your requirement, could you please show the exact expected result based on the table that you have shared?
Best regards,
Community Support Team _ zhenbw
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
BTW, pbix as attached.
Hi @antontirol ,
We can do some transformations in Power Query Editor and create a measure to meet your requirement.
1. We need to get the rank in each group. So we need to group the ID and add an index column in it.
2. Then we can copy the same table, one filters the ID to 1, another filters the ID to 2.
3. At last we need to merge table and table 2, then add a conditional column.
4. Then we need to create a measure to get the result.
Measure = DIVIDE(SUM('Table'[Custom]),COUNTROWS('Table'))
If it doesn’t meet your requirement, could you please show the exact expected result based on the table that you have shared?
Best regards,
Community Support Team _ zhenbw
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
BTW, pbix as attached.
@antontirol , Try a measure like
divide(count(Table[ID]) - distinctcount(Table[ID]),count(Table[ID]) )
Hello @amitchandak
Thank you for your solution. I should wrote it before, there are also some additionals column in the table which i don't want to compare, how should i FILTER your fomula only to apply for some or make exception for these which i don't want to compare?
Copying DAX from this post? Click here for a hack to quickly replace it with your own table names
Has this post solved your problem? Please Accept as Solution so that others can find it quickly and to let the community know your problem has been solved.
If you found this post helpful, please give Kudos C
I work as a Microsoft trainer and consultant, specialising in Power BI and Power Query.
www.excelwithallison.com
Hello @AllisonKennedy ,
I dont have index column but can sure make new.
I would like to describe more what im trying to achieve.
It is project for comparing text read by OCR from documents.
I have 2 tables which i merged together.
In one table are document as it should be from from pdf.
In second are data from OCR, there are many test on same documents with different settings. ID is different for different OCR settings.
This report should compare data from OCR and original data and show how many values are correct. Goal is to find which OCR setting works best.
Copying DAX from this post? Click here for a hack to quickly replace it with your own table names
Has this post solved your problem? Please Accept as Solution so that others can find it quickly and to let the community know your problem has been solved.
If you found this post helpful, please give Kudos C
I work as a Microsoft trainer and consultant, specialising in Power BI and Power Query.
www.excelwithallison.com
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 |
---|---|
109 | |
98 | |
77 | |
66 | |
54 |
User | Count |
---|---|
144 | |
104 | |
100 | |
86 | |
64 |