HP Intelligent Management Center Standard Software Platform - Manual (Page 393)

dots. However, in some coastal states, such as South Carolina, you might
be able to count the dots on the map, since their dispersal would be fairly
wide.
The purpose of a Dot Density map is to provide an overall impression of the
distribution of the specified item. A Dot Density map is much like a nighttime
satellite photo of the United States, where you can see the lights of all the
cities. Such a map is not a very accurate means of communicating information
(particularly if you have a large number of items), but it is a good way to give
an overview of the distribution.
Graduated
A Graduated map is much like a Ranged map; it shows one symbol per
instance of a specified item. This symbol is a circle by default, but you can
choose a different symbol if you prefer. Each symbol is proportional in size
to the value of the item it represents (within a range of three sizes).
A Graduated map communicates the same information as the Ranged map,
but you would usually create a Ranged map for a case in which the
geographic areas have distinct geographic boundaries (as in the case of
Regions), while you would use a Graduated map for displaying data that is
linked to points rather than precise areas (as in the case of Cities).
For example, a map of an individual region could use graduated circles to
represent the sales for each office. The size of each circle would be
proportional to the sales (or to the sales range) of the office it represents.
On this map, an office with a sales figure of $70,000 might have a large
circle, and an office with a sales figure of $20,000 might have a small circle.
So, a Graduated map provides a more efficient representation of point data
(e.g. Cities) than a Ranged map does, and it uses sized symbols rather than
colors to distinguish variations in the values of the items it represents.
Pie Chart
A Pie Chart map displays a pie chart over each geographic area. The pie
charts represent data items that make up a whole. Each slice of the pie
represents an individual data item and shows that item's percentage in the
whole. For example, you could create a Pie Chart map showing heating fuel
types by region. You might have four types of heating fuel (four slices in each
pie): electricity, gas, wood, and solar. Each region would then have a pie
chart showing the breakdown of heating fuel types within that region.
Washington state would probably use a high percentage (a large slice of the
Crystal Reports 2008 SP3 User's Guide 393
15 Mapping
Mapping concepts