Forum Discussion
Replacing a column with calculation, performing a column lookup dynamically
Add a custom step with the following. Replace #"Changed Type" with the name of your last step (that is the default value when you add a custom step).
= Table.FromRecords(Table.TransformRows(#"Changed Type", each _ & Record.FromList(List.Transform(List.Select(Record.FieldNames(_), each Text.StartsWith(_, "Score_")), (name) => Record.Field(_, name) * Record.Field(_, "Weight_" & Text.AfterDelimiter(name, "Score_"))),List.Select(Record.FieldNames(_), each Text.StartsWith(_, "Score_")))), Value.Type(#"Changed Type"))
Thanks Edhans, so in this section, if I have 299 columns, I would need to put in all of them? In the end I will need to unpivot anyway as that is how I need to report it so that works out.
BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Name = _t, Score_1 = _t, Weight_1 = _t, Score_2 = _t, Weight_2 = _t, Score_3 = _t, Weight_3 = _t]),
Also, can I just replace the score column instead of creating a new one? I have to actually take this and do a merge query to do a compare so the column name needs to stay the same.
No. that first line is what I pasted in using the Enter Data feature.
Your source would the data connection to your 299 column file. My code should work on all columns - that is be beauty of UnPivot. See the link I posted above on how to integrate my code sample into your actual table. It has images on how to merge the code, and a link at the bottom of that post to a video Imke made for this as well.
You can then remove unneeded columns and rename columns to suit your needs for subsequent merges.
Please post back if you have any specific questions on being unable to do the code merge and I'll assist. I'd need your M code to do it though. Otherwise, if you can mark my post as the solution it would be appreciated, and also let others know this is resolved and there is an answer for future users searching similar scenarios.