Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more
Hello all,
I'm needing a way to display only matching values in columns with additional columns needed for context. For example:
| Date | Name | Expense Item | Line Amount |
| Jan 1 2021 | Bob Smith | Car Rental | $100 |
| Jan 1 2021 | Bob Smith | Mileage | $30 |
| Jan 2 2021 | Bob Smith | Car Rental | $100 |
| Jan 3 2021 | Bob Smith | Car Rental | $100 |
I would like to see only rows that a person expensed car rental and mileage on the same day. So in the example I would expect to see:
| Date | Name | Expense Item | Line Amount |
| Jan 1 2021 | Bob Smith | Car Rental | $100 |
| Jan 1 2021 | Bob Smith | Mileage | $30 |
Any assistance would be greatly appreciated.
Solved! Go to Solution.
hi @Scott_S_is_me ,
Create a blank query. Copy and paste the following code below into it.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8krMUzBUMDIwMlTSUXLKT1IIzs0syQCynROLFIJS80oSc4AcFUMDA6VYHTzKfTNzUhPTU0FqjRFKjUgz2ZhI5bEA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Name = _t, #"Expense Item" = _t, #"Line Amount" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Name", type text}, {"Expense Item", type text}, {"Line Amount", Currency.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Date", "Name"}, {{"Details", each _, type table [Date=nullable date, Name=nullable text, Expense Item=nullable text, Line Amount=nullable number]}}),
CheckforValue = Table.AddColumn(#"Grouped Rows", "Custom", each if List.Contains([Details][Expense Item], "Car Rental") and List.Contains([Details][Expense Item], "Mileage") then 1 else 0),
#"Filtered Rows" = Table.SelectRows(CheckforValue, each ([Custom] = 1)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Custom", "Date", "Name"}),
#"Expanded Details" = Table.ExpandTableColumn(#"Removed Columns", "Details", {"Date", "Name", "Expense Item", "Line Amount"}, {"Date", "Name", "Expense Item", "Line Amount"})
in
#"Expanded Details"
Steps taken:
1. Grouped table by Name and Date, added a "Details" column summarizing all distinct rows.
2. Created a "Custom" Column, checking if the "Expense Item" in Detail for the grouped name and date contains the two values, if it does then 1 else 0. ( THIS IS CASE SENSITIVE).
3. Filter the Custom column for values with 1.
4. Removed all columns other than Details. Expanded the Details Column.
File: Expensecondition.pbix
hi @Scott_S_is_me ,
Create a blank query. Copy and paste the following code below into it.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8krMUzBUMDIwMlTSUXLKT1IIzs0syQCynROLFIJS80oSc4AcFUMDA6VYHTzKfTNzUhPTU0FqjRFKjUgz2ZhI5bEA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, Name = _t, #"Expense Item" = _t, #"Line Amount" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Name", type text}, {"Expense Item", type text}, {"Line Amount", Currency.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Date", "Name"}, {{"Details", each _, type table [Date=nullable date, Name=nullable text, Expense Item=nullable text, Line Amount=nullable number]}}),
CheckforValue = Table.AddColumn(#"Grouped Rows", "Custom", each if List.Contains([Details][Expense Item], "Car Rental") and List.Contains([Details][Expense Item], "Mileage") then 1 else 0),
#"Filtered Rows" = Table.SelectRows(CheckforValue, each ([Custom] = 1)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Custom", "Date", "Name"}),
#"Expanded Details" = Table.ExpandTableColumn(#"Removed Columns", "Details", {"Date", "Name", "Expense Item", "Line Amount"}, {"Date", "Name", "Expense Item", "Line Amount"})
in
#"Expanded Details"
Steps taken:
1. Grouped table by Name and Date, added a "Details" column summarizing all distinct rows.
2. Created a "Custom" Column, checking if the "Expense Item" in Detail for the grouped name and date contains the two values, if it does then 1 else 0. ( THIS IS CASE SENSITIVE).
3. Filter the Custom column for values with 1.
4. Removed all columns other than Details. Expanded the Details Column.
File: Expensecondition.pbix
Got it to work. Thank you so much!
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!
Check out the July 2026 Power BI update to learn about new features.