How to analyze which site has most numbers I am trying to determine which site in our organization is in greater need of upgrades to SEP 12, so when I run a query to count, I get these type of numbers

Group       Windows_SEP_11  Mac_SEP_11  Windows_SEP_12  Mac_SEP_12
Arizona\A   417                  29              219         6
Arizona\B   380                  20              282        15
Arizona\C   340                  30              383        507
Arizona\D   310                  104             186        857
Arizona\E   307                  74              403        243
Arizona\F   285                  171             522        14
Arizona\G   269                  1               559        41


However, when I find percentages, I get these numbers

Group          Win_Sep_11_%   Mac_SEP_11_%  Windows_SEP_12_%    Mac_SEP_12_%
Boston/Site 1   100               0                0               0
Boston/Site 2   100               0                0               0
Boston/Site 3   94                0                0               5


And obviously, percentage isn't good indicator because Boston/Site 1 has only 3 computers, Boston/Site 2 only has 4 computers, etc.

What is the best way to analyze data? I ultimately need a visual of sites that have


many computers, and
a great need for upgrades to SEP 12, i.e. if there are more computers with SEP 11 than SEP 12.


Please point me in the right direction.
The most obvious way of visualizing this is to have the number of computers on the Y-axis and the size of the dots representing the percentages. The categories (or sites in your case) can be represented on the X-axis. The image below shows an example where the Y-axis represents a continuous value (can be mapped to number of computers in your case), the X-axis represents a discrete value (can be mapped to sites in your case), and the size of the dots represents another attribute (like percentage in your case). I have used the R package ggplot2 for this.