S
scwalio
Hi,
I've had a search of this and can't seem to find exactly what I'
looking for, so apologies if this has already been asked!
I have been given a dataset with around 50 columns by product type (e.g
Cornflakes, Bread, Milk etc) going across 1 sheet. Each column has ove
2000 rows with the store type and revenue for each store. The number o
stores is different for each column (e.g. cornflakes sold in 100 stores
bread sold in 200 stores etc).
What I would like to do is to sum the total revenue for each store e.g
Store 1 makes £120 across all products etc.
Unfortunately, the stores are in different orders in the columns and no
all the columns have the same store. E.g. Cornflakes might have store 1
3, 5 and 6, Bread might have store 2, 3, 4 and 5, Milk has 4, 2 and
etc.
I've tried to lay out what I am looking at below, but if I haven't mad
myself clear, I will try and send across the Excel.
Thanks!
Cornflakes Bread
Store No. Revenue (£) Store No. Revenue (£)
Store 1 100 Store 1 20
Store 2 78 Store 2 55
Store 3 49 Store 3 82
et
I've had a search of this and can't seem to find exactly what I'
looking for, so apologies if this has already been asked!
I have been given a dataset with around 50 columns by product type (e.g
Cornflakes, Bread, Milk etc) going across 1 sheet. Each column has ove
2000 rows with the store type and revenue for each store. The number o
stores is different for each column (e.g. cornflakes sold in 100 stores
bread sold in 200 stores etc).
What I would like to do is to sum the total revenue for each store e.g
Store 1 makes £120 across all products etc.
Unfortunately, the stores are in different orders in the columns and no
all the columns have the same store. E.g. Cornflakes might have store 1
3, 5 and 6, Bread might have store 2, 3, 4 and 5, Milk has 4, 2 and
etc.
I've tried to lay out what I am looking at below, but if I haven't mad
myself clear, I will try and send across the Excel.
Thanks!
Cornflakes Bread
Store No. Revenue (£) Store No. Revenue (£)
Store 1 100 Store 1 20
Store 2 78 Store 2 55
Store 3 49 Store 3 82
et