Have set of Site information that outputs data into various rows. Need to summarize all those invidiual SiteNo's with data in their own columns. Have been working at this for a while before requested help. Have data output from query on top and desired output below so you can see what trying to do. I believe it requires grouping, transposing, and such but just cannot get correct sequence down. Power Query Output OidSiteNoCodeDescriptionTextSBSite.CustomerNo1391296DIVDIVISIONJACKSONVILLESAMPLE-A133322DIVDIVISIONJACKSONVILLESAMPLE-A13219DIVDIVISIONNEWPORTSAMPLE-B13619STATBILLING STATUSACTIVESAMPLE-B13719OFFOFF CONTRACT DATE04/15/22SAMPLE-B13819RTRNRETURN CONTRACT DATE09/01/22SAMPLE-B Desired Output SiteNoDivisionBilling StatusOff Contract DateReturn Contract DateSBSite.CustomerNo1296JACKSONVILLENULLNULLNULLSAMPLE-A322JACKSONVILLENULLNULLNULLSAMPLE-A19NEWPORTACTIVE04/12/2209/01/22SAMPLE-B

You should be able to do this all from the UI:Remove the unneeded columns "Code" and "OidPivot the "Description" ColumnValues Column = TextAdvanced Options => Don't AggregateThen reorder your columns as you wish

Grouping and summarizing into rows with column data

6 Replies

Anonymous

Not applicable

4 years ago

try this

let
    Origine = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lc/BEoIgEAbgV3E42yBQFkdUbCgDB1Y6OL7/a7RkTDPapcvCLnz/wDwTJiQpCeOyxqUzca0mGGdxe1PtPTgbzTBobIN6jIM+KLKUSQocCc7/h4kw+ctZ/Rydhy9pPqTOJIBKxw0mG3stUjsFHKgWTNR7eM7Q9f1ai9ZZ8Hi/6BQkUR0pO9H3Rzb4krEHn57nNUze7gMkrdg2YHkB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Oid = _t, SiteNo = _t, Code = _t, Description = _t, Text = _t, SBSite.CustomerNo = _t]),
    #"Modificato tipo" = Table.TransformColumnTypes(Origine,{{"Oid", Int64.Type}, {"SiteNo", Int64.Type}, {"Code", type text}, {"Description", type text}, {"Text", type text}, {"SBSite.CustomerNo", type text}}),
    #"Rimosse colonne" = Table.RemoveColumns(#"Modificato tipo",{"Oid", "Code"}),
    #"Colonna trasformata tramite Pivot" = Table.Pivot(#"Rimosse colonne", List.Distinct(#"Rimosse colonne"[Description]), "Description", "Text", (x)=>x{0}?),
    #"Ordinate righe" = Table.Sort(#"Colonna trasformata tramite Pivot",{{"SiteNo", Order.Descending}})
in
    #"Ordinate righe"

blazer12219

Frequent Visitor

4 years ago

So need some help nesting your let statement into the total solution you provided. Its putting a squiggly line under the 2nd let so cannot test any further.

let
    Source = Sql.Database("Root", "Database"),
    SB_UserDefinedData = Source{[Schema="SB",Item="UserDefinedData"]}[Data],
    #"Merged Queries" = Table.NestedJoin(SB_UserDefinedData, {"SiteNo"}, SBSite, {"SiteNo"}, "SBSite", JoinKind.LeftOuter),
    #"Expanded SBSite" = Table.ExpandTableColumn(#"Merged Queries", "SBSite", {"CustomerNo"}, {"SBSite.CustomerNo"}),
    #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"UnitNo", "SeqNo", "Type", "Qty", "OptimisticLockField"})
        let
            _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Oid = _t, SiteNo = _t, Code = _t, Description = _t, Text = _t, SBSite.CustomerNo = _t]),
            # "Modified type" = Table.TransformColumnTypes (Source, {{"Oid", Int64.Type}, {"SiteNo", Int64.Type}, {"Code", type text}, {"Description", type text} , {"Text", type text}, {"SBSite.CustomerNo", type text}}),
            # "Removed columns" = Table.RemoveColumns (# "Modified type", {"Oid", "Code"}),
            # "Pivot-transformed column" = Table.Pivot (# "Removed columns", List.Distinct (# "Removed columns" [Description]), "Description", "Text", (x) => x {0}? ),
            # "Order rows" = Table.Sort (# "Pivot transformed column", {{"SiteNo", Order.Descending}})
        in
            # "Sort lines"
in
    #"Removed Columns"

Anonymous

Not applicable

4 years ago

Done a little blindly, but if you're lucky it works for you ...

let 
Source = Sql.Database("Root", "Database"), 
SB_UserDefinedData = Source{[Schema="SB",Item="UserDefinedData"]}[Data], 
#"Merged Queries" = Table.NestedJoin(SB_UserDefinedData, {"SiteNo"}, SBSite, {"SiteNo"}, "SBSite", JoinKind.LeftOuter), 
#"Expanded SBSite" = Table.ExpandTableColumn(#"Merged Queries", "SBSite", {"CustomerNo"}, {"SBSite.CustomerNo"}), 
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"UnitNo", "SeqNo", "Type", "Qty", "OptimisticLockField"}), 
# "Modified type" = Table.TransformColumnTypes (#"Removed Columns", {{"Oid", Int64.Type}, {"SiteNo", Int64.Type}, {"Code", type text}, {"Description", type text} , {"Text", type text}, {"SBSite.CustomerNo", type text}}), 
# "Removed columns" = Table.RemoveColumns (# "Modified type", {"Oid", "Code"}), 
# "Pivot-transformed column" = Table.Pivot (# "Removed columns", List.Distinct (# "Removed columns" [Description]), "Description", "Text", (x) => x {0}? ), 
# "Order rows" = Table.Sort (# "Pivot transformed column", {{"SiteNo", Order.Descending}}) 
in # "Order rows"

ronrsnfld
Super User
4 years ago
You should be able to do this all from the UI:
Remove the unneeded columns "Code" and "Oid
Pivot the "Description" Column
Values Column = Text
Advanced Options => Don't Aggregate
Then reorder your columns as you wish

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Grouping and summarizing into rows with column data

6 Replies

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Power Query Output

Oid	SiteNo	Code	Description	Text	SBSite.CustomerNo
139	1296	DIV	DIVISION	JACKSONVILLE	SAMPLE-A
133	322	DIV	DIVISION	JACKSONVILLE	SAMPLE-A
132	19	DIV	DIVISION	NEWPORT	SAMPLE-B
136	19	STAT	BILLING STATUS	ACTIVE	SAMPLE-B
137	19	OFF	OFF CONTRACT DATE	04/15/22	SAMPLE-B
138	19	RTRN	RETURN CONTRACT DATE	09/01/22	SAMPLE-B


Desired Output

SiteNo	Division	Billing Status	Off Contract Date	Return Contract Date	SBSite.CustomerNo
1296	JACKSONVILLE	NULL	NULL	NULL	SAMPLE-A
322	JACKSONVILLE	NULL	NULL	NULL	SAMPLE-A
19	NEWPORT	ACTIVE	04/12/22	09/01/22	SAMPLE-B