How to calculate difference of two categories at same time index?

[Anonymous]

I have a table A that looks like this:

Time	Value	Service
2022-01-01	10	Service A
2022-01-01	5	Service B
2022-01-02	8	Service A
2022-01-02	7	Service B
2022-01-03	4	Service A
2022-01-03	3	Service B

How do I calculate a column that takes the difference for Service A and Service B at each timestep? Either that the result is in a new column in Table A or in a entierly new Table B.

[Anonymous · Accepted solution]

Hi @Anonymous ,

Easiest way is pivot table in Power Query like below:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwMtI1MAQiJR0lQwMgEZxaVJaZnKrgqBSrgyZviiTthCptBJSywK0bJG2OW7cxUMoEt26QtDGq7lgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Time = _t, Value = _t, Service = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Time", type date}, {"Value", Int64.Type}, {"Service", type text}}),
    #"Pivoted Column" = Table.Pivot(#"Changed Type", List.Distinct(#"Changed Type"[Service]), "Service", "Value", List.Sum)
in
    #"Pivoted Column"

Then you could directly create a column use [Service A] - [Service B].

Best Regards,

Jay

[amitchandak]

@Anonymous , refer this

Compare Categorical Data Using Slicers - Compare two Brands: https://youtu.be/exN4nTewgbc