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ellysoo
Regular Visitor

Multiple type summing up by location

Hi, I would need enlightenment from the experts here on how can I do the following with power query.

 

For below data, how can I generate the total of each fruits by Operating Office and drill down by Location?

 

Operating OfficeLocationFruit 1Fruit 1 QuantityFruit 2Fruit 2 Quantity
HQEast MarketPear4Orange6
Office 1West MarketLemon10Peach3
HQNorth MarketOrange20Apple 14
HQCentral MarketApple12Mango10
Office 2South MarketPeach4Banana6
1 ACCEPTED SOLUTION
wdx223_Daniel
Community Champion
Community Champion

suggest to transform data like this

wdx223_Daniel_0-1679886703840.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8ghU0lFyTSwuUfBNLMpOLQHyAlITi4CUCRD7FyXmpacCGWZKsTrRSv5paZnJqQqGQIHwVGQtPqm5+XlA2tAAoj85A0gbg/WALfDLLyrJQCiHG2sEUu9YUJCTqgDSbYLQ4ZyaV1KUmIPQA1YFUmQEJHyB+vMh9iG5CyQTnF+KbBPMLSDPOCXmASHEM7EA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Operating Office" = _t, Location = _t, #"Fruit 1" = _t, #"Fruit 1 Quantity" = _t, #"Fruit 2" = _t, #"Fruit 2 Quantity" = _t]),
    Custom1 = #table(List.FirstN(Table.ColumnNames(Source),2)&{"Fruit","Quantity"},List.TransformMany(Table.ToRows(Source),each List.Split(List.Skip(_,2),2),(x,y)=>List.FirstN(x,2)&y)),
    #"Changed Type" = Table.TransformColumnTypes(Custom1,{{"Operating Office", type text}, {"Location", type text}, {"Fruit", type text}, {"Quantity", Int64.Type}})
in
    #"Changed Type"

 

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1 REPLY 1
wdx223_Daniel
Community Champion
Community Champion

suggest to transform data like this

wdx223_Daniel_0-1679886703840.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8ghU0lFyTSwuUfBNLMpOLQHyAlITi4CUCRD7FyXmpacCGWZKsTrRSv5paZnJqQqGQIHwVGQtPqm5+XlA2tAAoj85A0gbg/WALfDLLyrJQCiHG2sEUu9YUJCTqgDSbYLQ4ZyaV1KUmIPQA1YFUmQEJHyB+vMh9iG5CyQTnF+KbBPMLSDPOCXmASHEM7EA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Operating Office" = _t, Location = _t, #"Fruit 1" = _t, #"Fruit 1 Quantity" = _t, #"Fruit 2" = _t, #"Fruit 2 Quantity" = _t]),
    Custom1 = #table(List.FirstN(Table.ColumnNames(Source),2)&{"Fruit","Quantity"},List.TransformMany(Table.ToRows(Source),each List.Split(List.Skip(_,2),2),(x,y)=>List.FirstN(x,2)&y)),
    #"Changed Type" = Table.TransformColumnTypes(Custom1,{{"Operating Office", type text}, {"Location", type text}, {"Fruit", type text}, {"Quantity", Int64.Type}})
in
    #"Changed Type"

 

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