Forum

Conditional sum bas...
 
Notifications
Clear all

Conditional sum based on monthly data

5 Posts
3 Users
0 Reactions
261 Views
(@avrotsos)
Posts: 3
Active Member
Topic starter
 

Hello,

I have forecast and demand data for certain products for each month for 12 months. There hundreds of products, so for each month there are hundreds of rows with the forecast/demand data. I am calculating the difference between the actual demand data and the forecast data and wish to display a column that shows the total summed difference for each month. So, for all the products demanded in the month of 5/1/2015, the column will display the total difference between the forecast data and the actual demand for each product during that month. Any help would be appreciated. I will also gladly provide any additional needed information. 

 

Thanks in advance!

 
Posted : 16/07/2020 3:00 pm
(@mynda)
Posts: 4761
Member Admin
 

Hi Alexios,

Welcome to our forum! This should be done in the PivotTable rather than Power Query. If you want to share a sample Excel file we can help you further.

Mynda

 
Posted : 16/07/2020 7:27 pm
(@avrotsos)
Posts: 3
Active Member
Topic starter
 

Hello Mynda,

I appreciate the response. However, I am interested in a solution that can be done within Power Query. I will provide a sample text example below.

 

period          part         demand          forecast         variance       TOTAL VARIANCE BY MONTH

5/1/2015        A                  10                   9                    1                            4

5/1/2015        B                   5                    7                    2                            4

5/1/2015        C                   5                    6                    1                            4

6/1/2015        A                   3                    3                    0                            7

6/1/2015        B                   8                    2                    6                            7

6/1/2015        C                   7                    6                    1                            7

7/1/2015        A                   7                    2                    5                           14

7/1/2015        B                   6                    9                    3                           14

7/1/2015        C                   4                    10                  6                           14

 

I hope the formatting is clear. The column on the far right is the column I wish to generate within Power Query. 

 
Posted : 17/07/2020 8:19 am
(@catalinb)
Posts: 1937
Member Admin
 

11.jpgHi Alexios,

It's not recommended to do that in PQ, it's better to make the aggregations in a pivot table, see image attached. The table you have is perfect for that.

If you still need that, use the query below:

let
Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"period ", type datetime}, {"part ", type text}, {" demand ", Int64.Type}, {"forecast ", Int64.Type}, {" variance ", Int64.Type}}),
#"Inserted Year" = Table.AddColumn(#"Changed Type", "Year", each Date.Year([#"period "]), Int64.Type),
#"Inserted Month" = Table.AddColumn(#"Inserted Year", "Month", each Date.Month([#"period "]), Int64.Type),
#"Renamed Columns" = Table.RenameColumns(#"Inserted Month",{{" variance ", "variance"}}),
#"Added Custom" = Table.AddColumn(#"Renamed Columns", "Custom", (x)=> List.Sum(Table.SelectRows(#"Renamed Columns", each _[Year]=x[Year] and _[Month]=x[Month])[variance]))
in
#"Added Custom"

 
Posted : 17/07/2020 3:18 pm
(@avrotsos)
Posts: 3
Active Member
Topic starter
 

Hello Catalin,

I appreciate the response. Thank you everybody for the assistance. I will try the attached query, and make the aggregation in a Pivot Table.

Thanks,

Alexios

 
Posted : 17/07/2020 3:34 pm
Share: