Hello.
I am new to POwer BI and need help with a query. I have a table where we maintain Order status as a Column. So at every stage of an Order a new Column is created containing the latest status.. E.g. Status0="Open", Status1="In Process", etc.. where Status0, Status1, Status2 are created dynamically so the number of columns in table is not fixed.
I need a way to read the latest status for each of the Order, add it to a new column "Latest Status" so that I have one column which has the latest status of the Order.
Order# | Status0 | Status1 | Status2 | Status3 | Latest Status? |
100001 | Open | Cancelled | Closed | Closed | |
100002 | Open | InProcess | Delivered | Closed | Closed |
100003 | Open | Open | |||
100004 | Dropped | Dropped | |||
100005 | Open | InProcess | Delivered | Delivered | |
100006 | Open | Open | |||
100007 | Open | InProcess | Delivered | Delivered | |
100008 | Open | InProcess | Cancelled | Closed | Closed |
100009 | Open | Open | |||
100010 | Open | Open |
@vmat Paste this in the advanced editor:
let
Source = Table.FromRows (
Json.Document (
Binary.Decompress (
Binary.FromText (
"i45WMjQAAkMlHSX/gtQ8IOWcmJecmpOTmgJi5+QXgxkKSrE6UKVGCKWeeQFF+cmpxcVAtktqTmZZahGyNrgWY4QWBTiGy5qAdBflFxRAbcJQYErYRiTVZngtMyfJLAvsqrEEEVyLJT7rDQ2wysYCAA==",
BinaryEncoding.Base64
),
Compression.Deflate
)
),
let
_t = ( ( type nullable text ) meta [ Serialized.Text = true ] )
in
type table [ #"Order#" = _t, Status0 = _t, Status1 = _t, Status2 = _t, Status3 = _t ]
),
Result = Table.AddColumn (
Source,
"Custom",
each
let
RecordToTable =
Table.SelectRows (
Table.Skip ( Record.ToTable ( _ ) ),
each [Value] <> " "
),
NewCol =
Table.AddColumn (
RecordToTable,
"Num",
each Number.From ( Text.End ( _[Name], 1 ) )
),
MaxNum = List.Max ( NewCol[Num] ),
Result = Table.SelectRows ( NewCol, each [Num] = MaxNum )[Value]{0}
in
Result,
type text
)
in
Result
Thanks @AntrikshSharma for the quick reply.
I see you are using the 4 status (columns mentioned) in the table. But my problem is that the status keep increasing as the Order status changes, so I can have status5,status6, status7 and so on....
So, the first part of the problem is to find all the columns beginning with status and then for each row find the latest status.
THanks,
@vmat That step is auto generated because I used the Enter Data option in Power BI, did you try the code with your data?
Yes,I did. I now inserted one more column "Status4" in my Order Table, but your query considered only first 4 status (till status3). So, the query ignore the status from Last column (Status4)
@vmat Nope you are making some mistake here you only need to use the Result part of the code. I tried by adding new column (Status4, Status5..) and it is working for me 🤘
Hmm. ok.. not sure what wrong am I doing. but following the 2 steps..
I export this table from an Excel file, and then go to Advanced Editor and Copy the entire code your provided.
I also tried creating a custom column and pasted only the Result part of the code, but gave the below error.
Ok, So I was able to make the code work by replacing the " " with null as the code was looking for blanks while Power BI converted the blank values to null. So now I have the latest status in the last column.
Now i have another complexity. There are more columns in the table and not just the Order# and Status. The Status column follows this convention.. Status_0_Name,Status_1_Name,Status_2_Name, etc.. So now it makes it more complex to first find all the Status columns which start with Status and end with Name and to find them in a table with many other columns which are not in any sequence. posting a sample here...
How can I improvise this query to read only columns with Status*Name and get the latest status?
Order# | Customer# | Status0 | Status0Name | Status1 | Status1Name | Return Order | ReturnOrder# | Status2 | Status2Name | Customer Country | Status3 | Status3Name | Status4 | Status4Name | OrderType | Order Date |
100001 | 25008 | 21 | Open | 31 | Cancelled | Yes | 38375 | 41 | Closed | DE | 51 | WIP | 61 | OnWay | 10 | 7/31/2022 |
100002 | 28104 | 22 | Open | 32 | InProcess | 42 | Delivered | FR | 52 | Closed | 62 | Closed | 10 | 10/2/2022 | ||
100003 | 27734 | 23 | Open | 33 | Yes | 36035 | 43 | US | 53 | 63 | 20 | 8/8/2022 | ||||
100004 | 26562 | 24 | Dropped | 34 | 44 | CA | 54 | 64 | 40 | 8/25/2022 | ||||||
100005 | 28097 | 25 | Open | 35 | InProcess | 45 | Delivered | CA | 55 | WIP | 65 | 30 | 10/1/2022 | |||
100006 | 25449 | 26 | Open | 36 | Yes | 38176 | 46 | ES | 56 | 66 | 30 | 9/9/2022 | ||||
100007 | 26758 | 27 | Open | 37 | InProcess | 47 | Delivered | MX | 57 | 67 | 20 | 9/21/2022 | ||||
100008 | 26648 | 28 | Open | 38 | InProcess | Yes | 38896 | 48 | Cancelled | IR | 58 | Closed | 68 | OnWay | 10 | 8/30/2022 |
100009 | 28998 | 29 | Open | 39 | Closed | Yes | 38941 | 49 | UK | 59 | 69 | 30 | 7/25/2022 | |||
100010 | 26273 | 30 | Open | 40 | Rejected | 50 | DE | 60 | 70 | 30 | 8/13/2022 |
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