Objectives / Production

[psorel]

Hello, I need to carry out a production comparison with the objectives. I have the 2 tables in joint. Problem, when I reread the "DAY" column to the "accompanying date" column, I only have 0.6 to count the days where there is an "accompanying date".
I would like to obtain in a table for the month of January (21 ( working days in january) x0.6 therefore 12.6) as objective and 1 achieved in the same table for worker A.

Do you have a solution? 

Thank's 

[lbendlin]

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[psorel]

Hi @lbendlin 

PBIX file and Xlsx/CSV are not supported so the first table with Productin of different workers in different teams.

WORKER	Accompanying Date	Duration	TEAM
A	01/01/2023	3	BLUE
A	05/02/2023	4	BLUE
A	06/05/2023	2	BLUE
A	07/07/2023	0,5	BLUE
B	01/01/2023	3	BLUE
B	05/03/2023	4	BLUE
B	06/05/2023	2	BLUE
B	07/07/2023	0,5	BLUE
C	01/01/2023	4	GREEN
C	02/01/2023	4	GREEN
C	03/05/2023	2	GREEN
C	07/07/2023	0,5	GREEN
D	01/01/2023	3	GREEN
D	05/02/2023	4	GREEN
D	06/05/2023	2	GREEN
D	07/07/2023	0,5	GREEN

2nd Table with the objectivs with working days : 

Date	Objectiv Team1	Objectiv Team2	Working days Teams 1	Working days Teams 2
01/01/2023	0,6	0,8
02/01/2023	0,6	0,8	0,6	0,8
03/01/2023	0,6	0,8	0,6	0,8
04/01/2023	0,6	0,8	0,6	0,8
05/01/2023	0,6	0,8	0,6	0,8
06/01/2023	0,6	0,8	0,6	0,8
07/01/2023	0,6	0,8
08/01/2023	0,6	0,8
09/01/2023	0,6	0,8	0,6	0,8
10/01/2023	0,6	0,8	0,6	0,8
11/01/2023	0,6	0,8	0,6	0,8
12/01/2023	0,6	0,8	0,6	0,8
13/01/2023	0,6	0,8	0,6	0,8
14/01/2023	0,6	0,8
15/01/2023	0,6	0,8
16/01/2023	0,6	0,8	0,6	0,8
17/01/2023	0,6	0,8	0,6	0,8
18/01/2023	0,6	0,8	0,6	0,8
19/01/2023	0,6	0,8	0,6	0,8
20/01/2023	0,6	0,8	0,6	0,8
21/01/2023	0,6	0,8
22/01/2023	0,6	0,8
23/01/2023	0,6	0,8	0,6	0,8
24/01/2023	0,6	0,8	0,6	0,8
25/01/2023	0,6	0,8	0,6	0,8
26/01/2023	0,6	0,8	0,6	0,8
27/01/2023	0,6	0,8	0,6	0,8
28/01/2023	0,6	0,8
29/01/2023	0,6	0,8
30/01/2023	0,6	0,8	0,6	0,8
31/01/2023	0,6	0,8	0,6	0,8
01/02/2023	0,6	0,8
02/02/2023	0,6	0,8
03/02/2023	0,6	0,8
04/02/2023	0,6	0,8
05/02/2023	0,6	0,8
06/02/2023	0,6	0,8
07/02/2023	0,6	0,8
08/02/2023	0,6	0,8
09/02/2023	0,6	0,8
10/02/2023	0,6	0,8
12/02/2023	0,6	0,8
13/02/2023	0,6	0,8

I would like a table or matrix visual with all the years/months/week ( with and without production) with columns Objectivs and production of each teams/workers. I don't know if i can add hierarchy date at the same time in the visual. Maybe date filters are better.
One more problem,  objectivs are not multiplicated by the number of workers on the periode. In january the objectiv is 13,80 * NB of workers

Thanks

[lbendlin]

Your Objectives table is not in a usable format.  The columns are grouped, the column names are inconsistent, and some values have leading spaces.  Here is the transform required to bring it into usable format:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("jdRRCoUgFIThrVx8Fq7OKau1RPvfRtqLIhz8ocjgA3GG432HlP/1UZKFGH4plvpJ8Ww/3/vEajSYkfT1x4yxzdtxcjt0BboDnPQE5mL75QSd28DkBJ1B5/bQz5rdDgYD889u/pNzO5gc7EGwB4FJkNvBYGD+gnMgOAeCPQj2IDALcjvoxmD+Bueg3VgCN9bSGDAbMDswBZgDmBOYa23a3bQ0IMO8yvB5AQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Date = _t, #" Objectiv Team1" = _t, #"Objectiv Team2" = _t, #"Working days Teams 1" = _t, #"Working days Teams 2" = _t]),
    #"Renamed Columns" = Table.RenameColumns(Source,{{"Working days Teams 1", "Working days Team1"}, {"Working days Teams 2", "Working days Team2"}}),
    #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Renamed Columns", {"Date"}, "Attribute", "Value"),
    #"Trimmed Text" = Table.TransformColumns(#"Unpivoted Other Columns",{{"Attribute", Text.Trim, type text}}),
    #"Split Column by Character Transition" = Table.SplitColumn(#"Trimmed Text", "Attribute", Splitter.SplitTextByCharacterTransition((c) => not List.Contains({"0".."9"}, c), {"0".."9"}), {"Attribute.1", "Team"}),
    #"Pivoted Column" = Table.Pivot(#"Split Column by Character Transition", List.Distinct(#"Split Column by Character Transition"[Attribute.1]), "Attribute.1", "Value"),
    #"Changed Type" = Table.TransformColumnTypes(#"Pivoted Column",{{"Date", type date}, {"Objectiv Team", type number}, {"Working days Team", type number}},"nl")
in
    #"Changed Type"

I don't understand where the duration value comes into play. Can you please elaborate?  How do you correlate teams 1 and 2 with teams BLUE and GREEN ?

[psorel]

The duration values in accompanying date is the production, i have to sum for each week/month/year the production of each worker. 
Sorry for the mistake TEAM BLUE and Green are sub-teams of team 1. I just need an exemple of my need for team 1 ( sub team Blue and green) 
I don't know which visual is more appropriated for my need a graph with Date hierarchy and a column objectivs / Realised for each worker or a table because i can have more than 50 workers on each team. Maybe i have to separate Teams or sub teams in different visuals. Or juste date hierarchy and use a filter for each worker/team. 

I hope you will understand my need. Thank you

[lbendlin]

Please provide sample data that fully covers your issue.
Please show the expected outcome based on the sample data you provided.