Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Compete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.

Reply
jamesc926
Frequent Visitor

Test serial numbers to check to see if conditions are met

I need help testing my table of serial numbers 

For each serial #

        if the Order Type = 60 AND 64 then Status = nOK

        if the Order Type = 60 then Status = OK

 

jamesc926_0-1711062475231.png

 

1 ACCEPTED SOLUTION
PhilipTreacy
Super User
Super User

Hi @jamesc926 

 

Download example PBIX file with the code below

 

Try this

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcnYxsDQwMzU2NVbSUTIEYjMDpVgdNHFdsIQJWMIpxNjCwNDFAKgORQNc3BBV3AAMDE1NLPCII1sAlTAxMsaqASIO1xALAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Serial Number" = _t, Qty = _t, #"Order Type" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Serial Number", type text}, {"Qty", Int64.Type}, {"Order Type", Int64.Type}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Status", each if [Order Type] = 64 then "" else if List.Contains((let x = [Serial Number] in Table.SelectRows(Source, each [Serial Number] = x)[Order Type]), "64") then "nOK" else "OK")
in
    #"Added Custom"

 

stats.png

 

regards

 

Phil



Did I answer your question? Then please mark my post as the solution.
If I helped you, click on the Thumbs Up to give Kudos.


Blog :: YouTube Channel :: Connect on Linkedin


Proud to be a Super User!


View solution in original post

2 REPLIES 2
dufoq3
Super User
Super User

Hi @jamesc926

different approach:

 

Result

dufoq3_0-1711116637457.png

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcnYxsDQwMzU2NVbSUTIEYjMDpVgdNHFdsIQJWMIpxNjCwNDFAKgORQNc3BBV3AAMDE1NLPCII1sAlTAxMsaqASIO1xALAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Serial Number" = _t, Qty = _t, #"Order Type" = _t]),
    ChangedType = Table.TransformColumnTypes(Source,{{"Serial Number", type text}, {"Qty", Int64.Type}, {"Order Type", Int64.Type}}),
    GroupedRows = Table.Group(ChangedType, {"Serial Number"}, {{"All", each 
        if List.ContainsAll([Order Type], {60,64}) then Table.FromColumns(Table.ToColumns(_) & {{"nOK", null}}, Table.ColumnNames(_) & {"Status"})  else Table.AddColumn(_, "Status", each "OK") , type table}}),
    All = Table.Combine(GroupedRows[All])
in
    All

Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

PhilipTreacy
Super User
Super User

Hi @jamesc926 

 

Download example PBIX file with the code below

 

Try this

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcnYxsDQwMzU2NVbSUTIEYjMDpVgdNHFdsIQJWMIpxNjCwNDFAKgORQNc3BBV3AAMDE1NLPCII1sAlTAxMsaqASIO1xALAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Serial Number" = _t, Qty = _t, #"Order Type" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Serial Number", type text}, {"Qty", Int64.Type}, {"Order Type", Int64.Type}}),
    #"Added Custom" = Table.AddColumn(#"Changed Type", "Status", each if [Order Type] = 64 then "" else if List.Contains((let x = [Serial Number] in Table.SelectRows(Source, each [Serial Number] = x)[Order Type]), "64") then "nOK" else "OK")
in
    #"Added Custom"

 

stats.png

 

regards

 

Phil



Did I answer your question? Then please mark my post as the solution.
If I helped you, click on the Thumbs Up to give Kudos.


Blog :: YouTube Channel :: Connect on Linkedin


Proud to be a Super User!


Helpful resources

Announcements
August Power BI Update Carousel

Power BI Monthly Update - August 2025

Check out the August 2025 Power BI update to learn about new features.

August 2025 community update carousel

Fabric Community Update - August 2025

Find out what's new and trending in the Fabric community.

Top Solution Authors