Forum Discussion
qasimawan
1 year agoFrequent Visitor
Collapse data to single
Hello community! I have the following dataset and I want to collapse this to a single row: How this looks like in Power Query: First Name Last Name Employee Number Expiry Date Date A...
- 1 year ago
1. Your data is not in a usable format. Unpivot it to make it usable.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("pZKxCsIwEIZfpWTucJdc7pLVUXBxLR1ESxWEotb3t+QUpRQa4hD+ZPh+jvvSNGY7dKY2m+vQ94/pgtaRZwnTtXqffXd7Xu7daflZmbZeayEX2f00VpnslMGndBaKeKGofKAy3qckLpxfxCovMmN3h/F4zuzw2hEKdyCckhAXeJ1jrSOgziBlHhg8/OORISSPFGORR0an/wDow3/3n9thIbn0CHOXmbyg8snHAt++AA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"First Name" = _t, #"Last Name" = _t, #"Employee Number" = _t, #"Expiry Date" = _t, #"Date Awarded" = _t, #"Training 1" = _t, #"Training 2 " = _t, #"Training 3" = _t, #"Training 4" = _t, #"Training 5" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Expiry Date", Int64.Type}, {"Date Awarded", Int64.Type}}), #"Changed Type1" = Table.TransformColumnTypes(#"Changed Type",{{"Expiry Date", type date}, {"Date Awarded", type date}}), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type1", {"Date Awarded", "Expiry Date", "Employee Number", "Last Name", "First Name"}, "Attribute", "Value"), #"Filtered Rows" = Table.SelectRows(#"Unpivoted Other Columns", each ([Value] <> " ")) in #"Filtered Rows"2. Once you did that you can let the visual do the rest of the work.
- 1 year ago
- 1 year ago
Just copy the below code and past it into advance editor
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("pZKxCsIwEIZfpWTucJdc7pLVUXBxLR1ESxWEotb3t+QUpRQa4hD+ZPh+jvvSNGY7dKY2m+vQ94/pgtaRZwnTtXqffXd7Xu7daflZmbZeayEX2f00VpnslMGndBaKeKGofKAy3qckLpxfxCovMmN3h/F4zuzw2hEKdyCckhAXeJ1jrSOgziBlHhg8/OORISSPFGORR0an/wDow3/3n9thIbn0CHOXmbyg8snHAt++AA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"First Name" = _t, #"Last Name" = _t, #"Employee Number" = _t, #"Expiry Date" = _t, #"Date Awarded" = _t, #"Training 1" = _t, #"Training 2 " = _t, #"Training 3" = _t, #"Training 4" = _t, #"Training 5" = _t]), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(Source, {"First Name", "Last Name"}, "Attribute", "Value"), #"Filtered Rows" = Table.SelectRows(#"Unpivoted Other Columns", each ([Value] <> " ")), #"Pivoted Column" = Table.Pivot(#"Filtered Rows", List.Distinct(#"Filtered Rows"[Attribute]), "Attribute", "Value", each Text.Combine(_,", ")) in #"Pivoted Column"
lbendlin
1 year agoSuper User
1. Your data is not in a usable format. Unpivot it to make it usable.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("pZKxCsIwEIZfpWTucJdc7pLVUXBxLR1ESxWEotb3t+QUpRQa4hD+ZPh+jvvSNGY7dKY2m+vQ94/pgtaRZwnTtXqffXd7Xu7daflZmbZeayEX2f00VpnslMGndBaKeKGofKAy3qckLpxfxCovMmN3h/F4zuzw2hEKdyCckhAXeJ1jrSOgziBlHhg8/OORISSPFGORR0an/wDow3/3n9thIbn0CHOXmbyg8snHAt++AA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"First Name" = _t, #"Last Name" = _t, #"Employee Number" = _t, #"Expiry Date" = _t, #"Date Awarded" = _t, #"Training 1" = _t, #"Training 2 " = _t, #"Training 3" = _t, #"Training 4" = _t, #"Training 5" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Expiry Date", Int64.Type}, {"Date Awarded", Int64.Type}}),
#"Changed Type1" = Table.TransformColumnTypes(#"Changed Type",{{"Expiry Date", type date}, {"Date Awarded", type date}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type1", {"Date Awarded", "Expiry Date", "Employee Number", "Last Name", "First Name"}, "Attribute", "Value"),
#"Filtered Rows" = Table.SelectRows(#"Unpivoted Other Columns", each ([Value] <> " "))
in
#"Filtered Rows"
2. Once you did that you can let the visual do the rest of the work.