Table transformation based on dynamic entries

[Kaitra]

Hello everybody,

i am having a problem which I cannot solve by myself.

I have a table that looks like this:

Date as month	Company Name	Score	Category
March	A	5	x
March	B	4	x
April	A	3	y
March	B	5	y
March	C	2	x
March	C	2	y
April	A	1	x
March	A	3	z

And I need a table like this:

Company Name	March	April	Category
A	5		x
B	4		x
A		3	y
B	5		y
C	2		x
C	2		y
A		1	x
A	3		z

An alternative could also be:

Company Name	March average score	April average score
A	4	2
B	4,5
C	2

If a new entry with a new month is included, a new column needs to be created with the name of the month

Is there a possibility to create these tables ?

Thank you for supporting me here.

Cheers,

Kai

[selimovd · Accepted solution]

Hey @Kaitra ,

that should be possible.

Mark the column [Date as month] and select pivot amd chose the score column for the values:

Afterwards you should have the desired result:

Here the full M-Code:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8k0sSs5Q0lFyBGJTIK5QitVBiDoBsQlc1LGgKDMHqtYYiCsx1JpiiDoDsRGGuTDRSgxzDTHUwmyrUoqNBQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Date as month" = _t, #"Company Name" = _t, Score = _t, Category = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Date as month", type text}, {"Company Name", type text}, {"Score", Int64.Type}, {"Category", type text}}),
    #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[#"Date as month"]), "Date as month", "Score", List.Sum)
in
    #"Pivoted Column"

If you need any help please let me know.

If I answered your question I would be happy if you could mark my post as a solution ✔️ and give it a thumbs up 👍

Best regards

Denis

Blog: WhatTheFact.bi

Follow me: twitter.com/DenSelimovic