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Use M-query to find the last period (date) prior to employee gaining promotion and add it to row

Employee table below contain list of employee data which rolls repeatedly everymonth.

Note the following:
Current_employee_flag: When new employee joins, Current_employee_flag is greater than 1 but when emploee leaves it is 0. Therefore 1 in this column represent current employee this month.
Promotion column: 1 represent the month employee gained promotion while 0 means no promotion that month.

Example: employee_Id H123 in October no prmotion (Current_employee_flag = 1 and promotion = 0), She gained promotion H to G in November (Current_employee_flag = 1 and promotion = 1) but left the company in December (Current_employee_flag = 0 and promotion = 0)

Employee_IDPeriodCurrent_employee_flagPromotionGrade
A12331/12/202310E
B12331/12/202310G
C12331/12/202310F
D12331/12/202310G
E12331/12/202310E
F12331/12/202311E
G12331/12/202310G
H12331/12/202300G
I12431/12/202310H
A12330/11/202311E
B12330/11/202311G
C12330/11/202310F
D12330/11/202310G
E12330/11/202310E
F12330/11/202310F
G12330/11/202311G
H12330/11/202311G
A12331/10/202310F
B12331/10/202310H
C12331/10/202310F
D12331/10/202310G
E12331/10/202310E
F12331/10/202310F
G12331/10/202310H
H12331/10/202310H


The idea is to further calculate how long each employee have stayed on each grade before promotion.

For each employee who have gained promotion only (Current_employee_flag > 0 and Promotion = 1), I want M-query to find the 'last period' (date) prior to employee gaining promotion, and populate it in the promotion period new row called Last_grade_period?

The expected answer should be like below

Employee_IDPeriodCurrent_employee_flagPromotionGradeLast_grade_period
A12331/12/202310E 
B12331/12/202310G 
C12331/12/202310F 
D12331/12/202310G 
E12331/12/202310E 
F12331/12/202311E30/11/2023
G12331/12/202310G 
H12331/12/202300G 
I12431/12/202310H 
A12330/11/202311E31/10/2023
B12330/11/202311G31/10/2023
C12330/11/202310F 
D12330/11/202310G 
E12330/11/202310E 
F12330/11/202310F 
G12330/11/202311G31/10/2023
H12330/11/202311G31/10/2023
A12331/10/202310F 
B12331/10/202310H 
C12331/10/202310F 
D12331/10/202310G 
E12331/10/202310E 
F12331/10/202310F 
G12331/10/202310H 
H12331/10/202310H 
15 REPLIES 15

Does 

= Table.AddColumn(PREVIOUSSTEP, "Last_grade_period", each if [Promotion] = "1" then Date.AddMonths([Period], -1) else null)

give you the result you are looking for?

Apologies, I have modified the question to make it easier to understand

This example code should be the solution you are looking for.

let
    Source = 
    Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Zc49DoAgDAXgqxhmkv6gEUZlMS66E+5/DSkJqQ1Dl/el7SvF3S9xcN5hm0BADIwtqF6JhBAwCfFMBBiEcCKOgHKQUqfnMr9w04ODxq9VtmKn47RbuzYcZBrSTG0rao38O7j05MwmqR8=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Employee_ID = _t, Promotion = _t, promotion_date = _t]),
    Custom1 = 
    Table.TransformColumns(Source, {{"promotion_date", each Date.FromText(_, "de-DE"), type date}}),
    #"Changed Type" = 
    Table.TransformColumnTypes(Custom1,{{"Employee_ID", type text}, {"Promotion", Int64.Type}, {"promotion_date", type date}}),
    Custom2 = 
    Table.Buffer(
        Table.Sort(
            #"Changed Type", 
            {{"promotion_date", Order.Descending}}
        )
    ),
    fxTableEdit = 
    (inputTable as table) as table =>
        let
            Source = inputTable,
            AddIndex = Table.AddIndexColumn(Source, "_index", 1, 1),
            AddLastDate = Table.AddColumn(AddIndex, "Last Promotion Date", each if List.Sum(AddIndex[Promotion]) > 0 then List.First(Table.SelectRows(AddIndex, (x)=> x[_index] = [_index] + 1)[promotion_date]) else null, type date),
            RemoveIndex = Table.RemoveColumns(AddLastDate, {"_index"})
        in
            RemoveIndex,
    #"Grouped Rows" = 
    Table.Group(
        Custom2, 
        {"Employee_ID"}, 
        {
            {
                "_nestedTables", 
                each fxTableEdit(_),
                type table [Employee_ID=nullable text, Promotion=nullable number, promotion_date=nullable date, Last Promotion Date=nullable date]
            }
        }
    ),
    #"Expanded _nestedTables" = 
    Table.ExpandTableColumn(
        #"Grouped Rows", 
        "_nestedTables", 
        {"Promotion", "promotion_date", "Last Promotion Date"}, 
        {"Promotion", "promotion_date", "Last Promotion Date"}
    )
in
    #"Expanded _nestedTables"

 

You can do this by Grouping by ID and then Shifting the Last Promotion Date column up one.

Based on your first post, I am also checking the Promotion column to ensure there is a `1` in addition to a Promotion Date; but not sure if this is necessary

let

//change next line to reflect actual table source
    Source = Excel.CurrentWorkbook(){[Name="Table8"]}[Content],
    #"Changed Type" = Table.TransformColumnTypes(Source,{
        {"Employee_ID", type text}, {"Promotion", Int64.Type}, {"promotion_date", type date}}),

//Group by ID
    #"Group by ID" = Table.Group(#"Changed Type",{"Employee_ID"}, {

//Shift up the Last Promotion Date for the new column
//Based on your first post, also checking the Promotion column
//   but this may not be necessary based on your second post
        {"Last Promotion Date", (t)=>
            let 
                #"Shifted Date & Promotion" =  Table.FromColumns(
                    Table.ToColumns(t) &
                        {List.RemoveFirstN(t[Promotion],1) & {null}} &
                        {List.RemoveFirstN(t[promotion_date],1) & {null}},
                        Table.ColumnNames(t) & {"Shifted Promotion"} & {"Last Promotion Date"}),
                #"null Last Promotion Date" = Table.ReplaceValue(
                    #"Shifted Date & Promotion",
                    each [Shifted Promotion],
                    each [Last Promotion Date],
                    (x,y,z)=> if y=1 then x else null ,
                    {"Last Promotion Date"})
            in 
                #"null Last Promotion Date",
            type table[Employee_ID=text, Promotion=Int64.Type,promotion_date=date, Shifted Promotion = Int64.Type, Last Promotion Date=date]
                
                } 
    }),
    #"Expanded Last Promotion Date" = Table.ExpandTableColumn(#"Group by ID", "Last Promotion Date", {"Promotion", "promotion_date", "Last Promotion Date"})
in
    #"Expanded Last Promotion Date"

Source

 

Results

 

 

As I suggested in my previous answer, if you don't need to check the Promotion column, the code can be simplified to just grouping by ID and then shifting the Promotion Date column up by one.

 

In your new data, this will return the same result:

 

let

//change next line to reflect actual table source
    Source = Excel.CurrentWorkbook(){[Name="Table8"]}[Content],
    #"Changed Type" = Table.TransformColumnTypes(Source,{
        {"Employee_ID", type text}, {"Promotion", Int64.Type}, {"promotion_date", type date}}),

//Group by ID
    #"Group by ID" = Table.Group(#"Changed Type",{"Employee_ID"}, {

    //Shift up the Last Promotion Date for the new column
        {"Last Promotion Date", (t)=>
                 Table.FromColumns(
                    Table.ToColumns(t) &
                        {List.RemoveFirstN(t[promotion_date],1) & {null}},
                        Table.ColumnNames(t) & {"Last Promotion Date"}),
            type table[Employee_ID=text, Promotion=Int64.Type,promotion_date=date, Last Promotion Date=date]
                
                }}),

    #"Expanded Last Promotion Date" = Table.ExpandTableColumn(#"Group by ID", "Last Promotion Date", 
        {"Promotion", "promotion_date", "Last Promotion Date"})
in
    #"Expanded Last Promotion Date"

 

Thank you for attempting this however this did not do what I wanted. Maybe I am not explaining what I need properly.

See the image below which show how your query above is behaving with the table.
I have added a marker to the image to help explain what I want.

The date is supposed to populate on the row where the promotions = 1 only and should only pull the date from the last promotion where the promotions = 1 also.

The x is what your formula was pulling.
The arrow indicates what I want to do
The date on the red suppose to go into the row where the arrow is pointing.

 

 

This image show a much clearer example of what you are trying to accomplish. The code below should do the trick:

let

//change next line to reflect actual table source
    Source = Excel.CurrentWorkbook(){[Name="Table8"]}[Content],
    #"Changed Type" = Table.TransformColumnTypes(Source,{
        {"Employee ID", type text}, {"promotions", Int64.Type}, {"month_end_date", type date}}),

//Group by ID
    #"Group by ID" = Table.Group(#"Changed Type",{"Employee ID"}, {

//Shift up the Last Promotion Date for the new column
//Based on your first post, also checking the Promotion column
//   but this may not be necessary based on your second post
        {"Last Promotion Date", (t)=>
            Table.AddColumn(t,"Last promotions date", (r)=> if r[promotions] = 0 
                then null 
                else try Table.SelectRows(t, 
                            each [month_end_date] < r[month_end_date] and 
                            [promotions] = 1){0}[month_end_date] 
                    otherwise null),
                type table[promotions=Int64.Type, month_end_date=date, Last promotions date = nullable date]
                }}),
                
    #"Expanded Last Promotion Date" = Table.ExpandTableColumn(#"Group by ID", "Last Promotion Date", 
        {"promotions", "month_end_date", "Last promotions date"})
in
    #"Expanded Last Promotion Date"

Thank you so much.

This solution works and gives the column needed correctly however I have a table with more than 21 columns and this query removed every other column on the table except this four on your screen.

Is there a way I can do this without loosing other column on the table?

Double-click on the last step: #"Expanded Last Promotion Date" and see if those other columns are listed. If they are, it'd probably just be a matter of checking them off also. If not, we will need to modify the aggregation in Table.Group

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