Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
I am trying to add the totals from each store and then divide by the unique # of dates provided (as some stores will not have all the dates). How could I achieve this in within Power Query? I understand I would have to do some grouping by store number, but not sure how to do the calculation by theunique # of dates.
| Current | Desired | |||||
| Date | Store Number | Totals | Store Number | Avg Total by Unique # of Dates | ||
| 1/1/2022 | 18 | 15 | 18 | 60 (***420/7***) | ||
| 1/2/2022 | 18 | 30 | 20 | 42.5 (***170/4***) | ||
| 1/3/2022 | 18 | 45 | 31 | 30.5 (***61/2***) | ||
| 1/4/2022 | 18 | 60 | ||||
| 1/5/2022 | 18 | 70 | ||||
| 1/6/2022 | 18 | 100 | ||||
| 1/7/2022 | 18 | 100 | ||||
| 1/1/2022 | 20 | 50 | ||||
| 1/2/2022 | 20 | 50 | ||||
| 1/3/2022 | 20 | 50 | ||||
| 1/4/2022 | 20 | 20 | ||||
| 1/1/2022 | 31 | 11 | ||||
| 1/2/2022 | 31 | 50 |
Solved! Go to Solution.
Change the Source line to reflect your actual data source:
let
Source = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Store Number", Int64.Type}, {"Totals", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Store Number"}, {
{"Average Sales per Day", each List.Sum([Totals]) / List.Count(List.Distinct([Date])), type number}})
in
#"Grouped Rows"
Change the Source line to reflect your actual data source:
let
Source = Excel.CurrentWorkbook(){[Name="Table3"]}[Content],
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Date", type date}, {"Store Number", Int64.Type}, {"Totals", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Store Number"}, {
{"Average Sales per Day", each List.Sum([Totals]) / List.Count(List.Distinct([Date])), type number}})
in
#"Grouped Rows"
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 19 | |
| 9 | |
| 8 | |
| 7 | |
| 6 |