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I have the following code which takes population data, groups it by field of study and catches only those that are 500K or higher.
Is there a way to do this, so that the filtered table is not grouped, in other words still showing all of the rows and colums before the grouping occured? Thanks in advance!
#"Grouped Rows" = Table.Group(#"Sorted Rows", {"Major Field of Study"}, {{"Field Total", each List.Sum([Value]), type number}}),
#"Filtered Rows1" = Table.SelectRows(#"Grouped Rows", each [Field Total] >= 500000)
Solved! Go to Solution.
While Dales solution will work, on large volume of data it might soon become slow. Then you can use this technique instead: Just add another column in your Group-operation, that adds all the rows back as they were and expand that column afterwards:
Happy and healthy new year everyone 🙂
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Hi @Anonymous,
It seems you'd like to add a column. Please try the formula below.
let current = [Major Field of Study] in List.Sum(Table.SelectRows(#"Sorted Rows", each [Major Field of Study] = current)[Value])
Best Regards,
Dale
While Dales solution will work, on large volume of data it might soon become slow. Then you can use this technique instead: Just add another column in your Group-operation, that adds all the rows back as they were and expand that column afterwards:
Happy and healthy new year everyone 🙂
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Thank you guys for taking the time to respond to this - I will try out both of these solutions.
Invoking @ImkeF, if anyone can answer this, she can.
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