P
Patrick
Hi,
I have a series of data that I would like to be
represented on a single chart in clustered and stacked
columns. I will explain in details the situation.
I have sales data for the 4 regions, viz. North, East,
West South. The data is additionally categorized across
hardware sales and software sales.
These data are grouped per month.
Thus, I have a matrix as follows for each region:
Period Hardware Sales Software Sales
Jan xxx yyy
Feb aaa bbb
Mar ppp qqq
....
....
What I wanted was to have a chart where the x asix is the
timeline (=months).
Per month, I wanted the data for each region and category
(hard + soft) to be displayed in stacked columns. Thus,
for North I have a stacked column, for South I have a
stacked column and so on.
Each of these 4 stacked columns are then represented next
to each other as clustered column so that I can easily
visualize the details per month.
I hope that I have explained my requirement clearly. And
now for some real chart wizards to come up with a solution.
Thanks for your help in advance,
Pat.
I have a series of data that I would like to be
represented on a single chart in clustered and stacked
columns. I will explain in details the situation.
I have sales data for the 4 regions, viz. North, East,
West South. The data is additionally categorized across
hardware sales and software sales.
These data are grouped per month.
Thus, I have a matrix as follows for each region:
Period Hardware Sales Software Sales
Jan xxx yyy
Feb aaa bbb
Mar ppp qqq
....
....
What I wanted was to have a chart where the x asix is the
timeline (=months).
Per month, I wanted the data for each region and category
(hard + soft) to be displayed in stacked columns. Thus,
for North I have a stacked column, for South I have a
stacked column and so on.
Each of these 4 stacked columns are then represented next
to each other as clustered column so that I can easily
visualize the details per month.
I hope that I have explained my requirement clearly. And
now for some real chart wizards to come up with a solution.
Thanks for your help in advance,
Pat.