Good day Tim,
I have been strugling lately to come up with a query that sum multiple columns and return extra 3 rows depending on what was selected.
For exapmle see my sample data below:
Town | Sector | Outside| Inside |Available|Price
Roy-----Formal----0----------0----------1---------0
Kobus--Formal----0 ---------0---------1----------0
Wika---Formal----0----------0---------1----------0
Mevo----Formal----1----------1---------1---------0
Hoch----Formal----1----------1---------1---------1
Points--------------2-----------2---------5---------1
Score--------------10---------10---------10-------10
%score-------------20---------20---------50-------10
Each column has a constant weighting (which serves as a factor and it can change depending on the areas) in this case the weighting for this areas are the ones in the first row for the sector Formal:
Sector |Outside| Inside |Available|Price
Formal----1----------1 ----------1-----1
Informal--1----------0 ----------2-----1
I tried using the aggregate sum function in but it wont work since i need the factor in the other table. Which is where my challenge started
To compute the rows below the report
points = sum per column * weighting factor per column
Score = sum of no of shops visited (in this case its 5) * weighting factor per column
% score = points/Score * 100
The report should display as described above. With the new computed rows below.<br>
I kindly ask anyone to assist me with this challenge as i tried searching on the internet for solutions but havent come across any.
Thanks a lot for your support in advance!!