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Ekaterina_'s avatar
Ekaterina_
Helper I
2 years ago
Solved

Evaluating table data in new table

Hello everyone,

 

I have some problems by generating a new table in Microsoft Excel:

 

Table 1 contains the column "Date of export", " Product Name", "Departement", "X" and "Status". So this table depends on exports which are everyday taken and out of this I want to create a table2 with columnn "Product" which summarizes the given data from table1 as follows:

 

Column "Product" shall display the entries from table1 "Product Name", which belong only to department B,  however I can't use a simpel VLOOKUP since eg the Product X occurs several time in table1 as the export is taken everyday, that means the product could be on the 11.03.2024 added to the table with status "In preperation", on the 12.03.2024 it is again added but bow with status "to be delieverd", on the 13.03.2024  it is added again still with the status "to be delievered", and on the 14.03.2024 it is again added in the table but with new status "delievered". Based on this I want product X to occur only one time in table 2.

 

The next step would be that the next column in table2 calculates how lang the product X stayed in status "in preperation", another columns calvulates how long the product X was in status"to be delieverd" and so one.

 

However, I would be glad if someone   could help me with at least one of these questions, since everything what I tried out didn't work 

 

Thank you in advance.

  • dufoq3's avatar
    dufoq3
    2 years ago

    Ekaterina_, for future be more precise with expected result. It should be BASED ON SAMPLE DATA!. You provided incorrect results for Jacket, Shoes and T-shirt!

     

    Result (with ignoring Department, just to show you how it works)

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lZA9D4IwFEX/CumMpEUT6ajioJOJbIShwos0EGoK8fcLGyCvH0PzltObe0+eE3qM6D6KaXwgIXnWCvrxnsZ364KHhg9oMUjVkSJcsWelmuk4oFehZfeegi8InXiUSLZLZCp4QVBBK+ELGqp/2K9GqqF3rqFFCS0MhmjusZD7LOToQjtv28jxjfbwbNfXUg94PKOIk83sBT2zkhowBx8Lfu7DoYSDkcUHPyN3UTZgghmib22EuYljqDgTaVfGfJUxVJmdN0orfg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Date of export" = _t, #"Product Name" = _t, Department = _t, Status = _t]),
        FilteredOutDelivered = Table.SelectRows(Source, each ([Status] <> "Delievered")),
        ChangedType = Table.TransformColumnTypes(FilteredOutDelivered,{{"Date of export", type date}}, "sk-SK"),
        GroupedRows = Table.Group(ChangedType, {"Product Name", "Status"}, {{"Days", each Duration.TotalDays(List.Max([Date of export]) - List.Min([Date of export])) +1, Int64.Type}}),
        PivotedColumn = Table.Pivot(GroupedRows, List.Distinct(GroupedRows[Status]), "Status", "Days")
    in
        PivotedColumn

     

    Version with Department implemented:

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lZA9D4IwFEX/CumMpEUT6ajioJOJbIShwos0EGoK8fcLGyCvH0PzltObe0+eE3qM6D6KaXwgIXnWCvrxnsZ364KHhg9oMUjVkSJcsWelmuk4oFehZfeegi8InXiUSLZLZCp4QVBBK+ELGqp/2K9GqqF3rqFFCS0MhmjusZD7LOToQjtv28jxjfbwbNfXUg94PKOIk83sBT2zkhowBx8Lfu7DoYSDkcUHPyN3UTZgghmib22EuYljqDgTaVfGfJUxVJmdN0orfg==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Date of export" = _t, #"Product Name" = _t, Department = _t, Status = _t]),
        FilteredOutDelivered = Table.SelectRows(Source, each ([Status] <> "Delievered")),
        ChangedType = Table.TransformColumnTypes(FilteredOutDelivered,{{"Date of export", type date}}, "sk-SK"),
        GroupedRows = Table.Group(ChangedType, {"Department", "Product Name", "Status"}, {{"Days", each Duration.TotalDays(List.Max([Date of export]) - List.Min([Date of export])) +1, Int64.Type}}),
        PivotedColumn = Table.Pivot(GroupedRows, List.Distinct(GroupedRows[Status]), "Status", "Days")
    in
        PivotedColumn

9 Replies

  • dufoq3's avatar
    dufoq3
    Community Champion

    Hi Ekaterina_, provide sample data as table so we can copy/paste and expected result (based on sample data).

    • Ekaterina_'s avatar
      Ekaterina_
      Helper I

      Thank you for the hint, here is some Dummy data. Sorry for the formate, but I couldn't figure out how to do it in a bester way:

       

      Date of export Product Name Department Status

      07.03.2024 Shoes A In Preperation

      07.03.2024 Book B In Preperation

      07.03.2024 Earings C In Preperation

      08.03.2024 Shoes A In Preperation

      08.03.2024 Book B To be delievered

      08.03.2024 Earings C In Preperation

      08.03.2024 Dress A In Preperation

      08.03.2024 Bracelet C In Preperation

      09.03.2024 Shoes A In Preperation

      09.03.2024 Book B To be delievered

      09.03.2024 Earings C To be delievered

      09.03.2024 Dress A In Preperation

      09.03.2024 Bracelet C To be delievered

      09.03.2024 T-shirt A In Preperation

      10.03.2024 Shoes A To be delievered

      10.03.2024 Book B Delievered

      10.03.2024 Earings C To be delievered

      10.03.2024 Dress A To be delievered

      10.03.2024 Bracelet C To be delievered

      10.03.2024 T-shirt A In Preperation

      10.03.2024 Jacket A In Preperation

      11.03.2024 Shoes A Delievered

      11.03.2024 Book B Delievered

      11.03.2024 Earings C Delievered

      11.03.2024 Dress A To be delievered

      11.03.2024 Bracelet C To be delievered

      11.03.2024 T-shirt A To be delievered

      11.03.2024 Jacket A In Preperation

       

       

      It should look like this:

       

      • dufoq3's avatar
        dufoq3
        Community Champion

        So we have input sample data. What about expected result (based on this data?)