Forum Discussion
Count across multiple columns
- Anonymous4 years ago
Hi tockert ,
According to your screenshot, I create a sample to have a test. Here I suggest you to transform your table in Power Query Editor, then you can get result by creating a matrix visual.
M code:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ZZBLDoAgDETv0jWXEBHlt9aEsHSp3n8nHyMtXRAyvOl0QowwgYD9uc473z6fokNVh4ckIsz4QYDs8jOoIaEPhMrlwBVL2P6XwhfGNa2gUWBbsZIRgXTjOLIa8MZiMKSBgeEPLMGWFXS0oBvnPeWeBQRqIDKlFw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Team Member #2 Name" = _t, #"Team Member #2 Shirt Style" = _t, #"Team Member #2 Size" = _t, #"Team Member #3 Name" = _t, #"Team Member #3 Shirt Style" = _t, #"Team Member #3 Size" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Team Member #2 Name", type text}}), #"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Index"}, "Attribute", "Value"), #"Duplicated Column" = Table.DuplicateColumn(#"Unpivoted Other Columns", "Attribute", "Attribute - Copy"), #"Extracted First Characters" = Table.TransformColumns(#"Duplicated Column", {{"Attribute", each Text.Start(_, 14), type text}}), #"Extracted Text Range" = Table.TransformColumns(#"Extracted First Characters", {{"Attribute - Copy", each Text.Middle(_, 15, 100), type text}}), #"Pivoted Column" = Table.Pivot(#"Extracted Text Range", List.Distinct(#"Extracted Text Range"[#"Attribute - Copy"]), "Attribute - Copy", "Value"), #"Sorted Rows" = Table.Sort(#"Pivoted Column",{{"Attribute", Order.Ascending}, {"Index", Order.Ascending}}), #"Removed Columns" = Table.RemoveColumns(#"Sorted Rows",{"Index"}) in #"Removed Columns"New Table:
Then create a matrix and get result directly.
Best Regards,
Rico ZhouIf this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi tockert ,
According to your screenshot, I create a sample to have a test. Here I suggest you to transform your table in Power Query Editor, then you can get result by creating a matrix visual.
M code:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ZZBLDoAgDETv0jWXEBHlt9aEsHSp3n8nHyMtXRAyvOl0QowwgYD9uc473z6fokNVh4ckIsz4QYDs8jOoIaEPhMrlwBVL2P6XwhfGNa2gUWBbsZIRgXTjOLIa8MZiMKSBgeEPLMGWFXS0oBvnPeWeBQRqIDKlFw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Team Member #2 Name" = _t, #"Team Member #2 Shirt Style" = _t, #"Team Member #2 Size" = _t, #"Team Member #3 Name" = _t, #"Team Member #3 Shirt Style" = _t, #"Team Member #3 Size" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Team Member #2 Name", type text}}),
#"Added Index" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1, Int64.Type),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Index"}, "Attribute", "Value"),
#"Duplicated Column" = Table.DuplicateColumn(#"Unpivoted Other Columns", "Attribute", "Attribute - Copy"),
#"Extracted First Characters" = Table.TransformColumns(#"Duplicated Column", {{"Attribute", each Text.Start(_, 14), type text}}),
#"Extracted Text Range" = Table.TransformColumns(#"Extracted First Characters", {{"Attribute - Copy", each Text.Middle(_, 15, 100), type text}}),
#"Pivoted Column" = Table.Pivot(#"Extracted Text Range", List.Distinct(#"Extracted Text Range"[#"Attribute - Copy"]), "Attribute - Copy", "Value"),
#"Sorted Rows" = Table.Sort(#"Pivoted Column",{{"Attribute", Order.Ascending}, {"Index", Order.Ascending}}),
#"Removed Columns" = Table.RemoveColumns(#"Sorted Rows",{"Index"})
in
#"Removed Columns"
New Table:
Then create a matrix and get result directly.
Best Regards,
Rico Zhou
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thanks for the help.
This worked. I was able to use this as a template to get it to work for all the team columns, as I have a total of 5 people per team.
I now have one matrix with all the shirt style and size counts. Saves us from having to manually count this up.