Hi
Thank you for an excellent site. I have found many tips and guidance here.
I have a dataset that contains a column with budgets for projects and a projected invoice date. When the project is completed the invoice amount and actual date are also filled in. I've used two different pivot tables to collect the data and to group it per year and then per month. I've searched around, but it does not seem possible to plot both these datasets on one pivot table to compare projected with actual invoicing. The best advice it seems is to put all the data in one pivot table, but I stumble on that step since the database contains a date for the budget and a date for the invoice.
My workaround {=SUM((Budget)*(Budget_date<=$P4)*(Budget_date>$P3))} using dates in column P provides the desired result for budget and another for actual invoicing, but does not have the flexibility for users that data slicers that come with pivot tables offer.
Any suggestions would be appreciated.
Thank you for an excellent site. I have found many tips and guidance here.
I have a dataset that contains a column with budgets for projects and a projected invoice date. When the project is completed the invoice amount and actual date are also filled in. I've used two different pivot tables to collect the data and to group it per year and then per month. I've searched around, but it does not seem possible to plot both these datasets on one pivot table to compare projected with actual invoicing. The best advice it seems is to put all the data in one pivot table, but I stumble on that step since the database contains a date for the budget and a date for the invoice.
My workaround {=SUM((Budget)*(Budget_date<=$P4)*(Budget_date>$P3))} using dates in column P provides the desired result for budget and another for actual invoicing, but does not have the flexibility for users that data slicers that come with pivot tables offer.
Any suggestions would be appreciated.