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Good morning
I have a problem that I don't know how to fix.
I need to combine two columns to get me one percentage or another and compare it to a third to see if there are errors
One column is Category and another Section. I attach the table with the output percentage. What I want to know is how to do the operation to create another column with the percentage that corresponds to it and compare it with the existing one in case there are errors, since there are several conditionals.
I hope I have explained myself
Thanks a lot
Stretch | Category 1 | Category 2 | Category 3 |
Up to 30.000 € | 90% | 50% | 30% |
From 30.001 € to 60.000 € | 60% | 35% | 20% |
from 60.001 € to 100.000 € | 30% | 20% | 10% |
Solved! Go to Solution.
The first thing you want to do is get the data into a usable format by unpivoting it.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCi1QKMlXMDbQMzAwUHjUtEZJR8nSQBVImoJJYyAZqxOt5FaUnwtRZQhSBdJjhqzHDKLaFEQaQfWkgfSYoegxNEDWZGwAU66jZAjSFAsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Stretch = _t, #"Category 1" = _t, #"Category 2" = _t, #"Category 3" = _t]),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"Stretch"}, "Attribute", "Value")
in
#"Unpivoted Other Columns"
Much better:
Now please explain the expected outcome based on this data.
The first thing you want to do is get the data into a usable format by unpivoting it.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCi1QKMlXMDbQMzAwUHjUtEZJR8nSQBVImoJJYyAZqxOt5FaUnwtRZQhSBdJjhqzHDKLaFEQaQfWkgfSYoegxNEDWZGwAU66jZAjSFAsA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Stretch = _t, #"Category 1" = _t, #"Category 2" = _t, #"Category 3" = _t]),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"Stretch"}, "Attribute", "Value")
in
#"Unpivoted Other Columns"
Much better:
Now please explain the expected outcome based on this data.
Thank you very much for your help
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