Microsoft Fabric Community Conference 2025, March 31 - April 2, Las Vegas, Nevada. Use code FABINSIDER for a $400 discount.
Register nowThe Power BI DataViz World Championships are on! With four chances to enter, you could win a spot in the LIVE Grand Finale in Las Vegas. Show off your skills.
Hi, i am a beginner of Power BI.
I have data like below.
I would like to create a slicer to allow user to filter shipment that involve a particular party.
If filter = "A", then result should be shipment 1/2/3/4/5
if filter = "B", then result should be shipment 2/3/6
I tried to follow some of the tutorial here, which is about to create a new table and new measure...but doesn't work, i cannot select the new measure as a slicer.
Appreciate for your assistance...thank you. 🙂
Solved! Go to Solution.
Hi Tomcch,
I was actually curious about this so I decided to have a go at it. I found a video online and worked through it and got it to work! Here's what you need to do:
1. Add a calculated column to your shipments table.
4. On your report canvas, add a slicer using the "Selection" field.
And you are rockin' and rollin'!
@joshbonner1986 , I faced the same issue but I made it work. I have big data table, let's call it the same as this trend's example table - Shipments, where same A, B ..s can appear in the same order multiple times. In this case, the keys are not going to be unique in Slicer table, and so when Slicer is put in relationship with Shipments table via Key, PBI gives a warning that many:many join is ocurring. It is OK if you use the Slicer as filter only in your views. You have to make sure the flow of filter is directed from Slicer to Shipments, though.
@tomcch From a scalability and best practice perspective, unpivot your data. Start a blank query, click Advanced Editor, and paste the following M code. Close and apply.
Use the Value column in the slicer and shipment in a table visual, As you select different value in the slicer, you will see the respective shipments.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXIEYlcgdgNiZyCOUIrViVYyArKckGRdgDgSLGMMVYcsGwWWMYHynKHqIbIgGVOoCMwON7AsSMYMynOBmugOVhEbCwA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Shipment = _t, Shipper = _t, Consignee = _t, #"End Customer" = _t, Agent = _t, Payee = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Shipment", Int64.Type}, {"Shipper", type text}, {"Consignee", type text}, {"End Customer", type text}, {"Agent", type text}, {"Payee", type text}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Shipment"}, "Attribute", "Value")
in
#"Unpivoted Other Columns"
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
Hi Tomcch,
I was actually curious about this so I decided to have a go at it. I found a video online and worked through it and got it to work! Here's what you need to do:
1. Add a calculated column to your shipments table.
4. On your report canvas, add a slicer using the "Selection" field.
And you are rockin' and rollin'!
This does not work when there are duplicate values...
would you mind giving me the working file for easy reference please?
thank you.
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Check out the February 2025 Power BI update to learn about new features.
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
User | Count |
---|---|
84 | |
69 | |
68 | |
39 | |
37 |