Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
Hello All,
I have a scenario to convert a field of data type varachar "03/28 8:00-7:30 03/29 8:00-7:30 03/30 8:00-6:00 04/02 8:00-7:30 04/03 8:00-7:30 04/04 8:00-7:30 04/05 8:00-7:30 04/06 8:00-7:30 04/07 8:00-6:00 04/09 8:00-7:30 04/10 8:00-7:30 04/11 8:00-7:30
04/12 8:00-7:30 04/13 8:00-7:30 04/14 8:00-3:00"
into an array using power BI? in power BI desktop or Power query?
Data now looks like
Emp_ID Emp_name date_hrs_operation
1 ABD "03/28 8:00-7:30 03/29 8:00-7:30 03/30 8:00-6:00 04/02 8:00-7:30 04/03 8:00-7:30 04/04 8:00-7:30 04/05 8:00-7:30 04/06 8:00-7:30 04/07 8:00-6:00 04/09 8:00-7:30 04/10 8:00-7:30 04/11 8:00-7:30
04/12 8:00-7:30 04/13 8:00-7:30 04/14 8:00-3:00"
I need to be in this format,
Emp_ID Emp_Name date_hrs_operation
1 ABD 03/28 8:00-7:30
1 ABD 03/29 8:00-7:30
1 ABD 03/30 8:00-6:00
1 ABD 04/02 8:00-7:30
etc.. By any method can I achieve this?
Thanks in advance!!
Solved! Go to Solution.
There are a lot more elegant functions to do that but this one here is fast and nimble.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Xc5LCoAwDEXRrZSMlSZN7W9WcRel+9+GURzYN7lwCIQ3Bglt1M/LyupDcaUx77kpu8d1tfV1sjiOnsP/blZwBB/gBM7wv653YbCAYY/AHvn2qIXmvAE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Emp_ID = _t, Emp_Name = _t, Column3 = _t]),
#"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(Source, {{"Column3", Splitter.SplitTextByDelimiter(" ", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Column3"),
#"Added Index" = Table.AddIndexColumn(#"Split Column by Delimiter", "Index", 0, 1, Int64.Type),
#"Added Custom" = Table.AddColumn(#"Added Index", "date_hrs_operation", each if Number.IsEven([Index]) then [Column3] & " " & #"Split Column by Delimiter"[Column3]{[Index]+1} else null),
#"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([date_hrs_operation] <> null)),
#"Removed Other Columns" = Table.SelectColumns(#"Filtered Rows",{"Emp_ID", "Emp_Name", "date_hrs_operation"})
in
#"Removed Other Columns"
There are a lot more elegant functions to do that but this one here is fast and nimble.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Xc5LCoAwDEXRrZSMlSZN7W9WcRel+9+GURzYN7lwCIQ3Bglt1M/LyupDcaUx77kpu8d1tfV1sjiOnsP/blZwBB/gBM7wv653YbCAYY/AHvn2qIXmvAE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Emp_ID = _t, Emp_Name = _t, Column3 = _t]),
#"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(Source, {{"Column3", Splitter.SplitTextByDelimiter(" ", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Column3"),
#"Added Index" = Table.AddIndexColumn(#"Split Column by Delimiter", "Index", 0, 1, Int64.Type),
#"Added Custom" = Table.AddColumn(#"Added Index", "date_hrs_operation", each if Number.IsEven([Index]) then [Column3] & " " & #"Split Column by Delimiter"[Column3]{[Index]+1} else null),
#"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([date_hrs_operation] <> null)),
#"Removed Other Columns" = Table.SelectColumns(#"Filtered Rows",{"Emp_ID", "Emp_Name", "date_hrs_operation"})
in
#"Removed Other Columns"
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 8 | |
| 5 | |
| 4 | |
| 3 | |
| 3 |
| User | Count |
|---|---|
| 12 | |
| 11 | |
| 7 | |
| 7 | |
| 6 |