A Statistic in Overture is an analysis that generates a
table of results
when it is activated. Overture has a generic, powerful and flexible statistical
generator that can be configured in many different ways to produce the KPI (key
performance indicators) you need.
Accessing The Statistic Collection
You can access the set of statistics from the
Start Page,
by first clicking on Analysis:
Then click on Statistics:
This will show you the statistics sub page:
You can also access the set of statistics from the menu option:
This will display the statistic collection editor:
Configuring Statistics
A statistic is built from two main parts: a set of
Data Providers
that supply the input data to the table, and a set of categorizers that are used
to group and partition the results. These are described in more detail below.
Data Providers
Data providers supply the input data for the statistic. For more information, see
here.
Categorizers
The set of categorizers is drawn from the collection of
Categorical Geo Data
providers associated with your project. This means that you can easily break down
your statistics by site, sector, clutter type, region, coding scheme, and the like,
or any combination of these.
You can access the set of categorizers directly from the menu (see
here
for details), or you can access them from the
section of the Statistics page:
If you do not specify any categorizers, the resulting data table will have a single
entry. If you specify a single category, the resulting data table will have one
row for each possible value of the chosen category. For example, if you break a
statistic down by site, the resulting table will have up to one row per site.
If any statistic category has no associated data, then no row will be produced for
it in the table.
If you specify two or more categories, the resulting table will have up one row
for each combination of the possible categorical values. The categories will be
applied in the order they appear in the definition of the statistic. For example,
if you break down a statistic by clutter type and then by site, the resulting table
will contain a block of rows for each clutter type, with one row for each site within
each block:
If we reverse the order of the categorizers, we would get a table where we have
a block of rows for each site, with one row per clutter type in each block:
