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Doing Joined Views
WHY DO JOINED VIEWS_
When you create a joined view, you can
make thematic maps or add labels to maps using any of your data
fields. The drop-down field lists in the theme and label dialog
boxes will contain the fields from the map layer and the
fields from your data file.
RULES TO REMEMBER
1. The values in one of the columns
in your dataview must match the values in one of the columns
of the layer. The column headings or names of the fields can
be different, as long as the values match.
2. You can edit the data in a joined
view, but you cannot edit the two fields that you used to create
the joined view, because these fields are the glue that hold
the two files together.
3. You cannot add or delete records
to to the dataview, since what appears to be a single record
in the joined view is really a combination of data from two different
places.
4. When your data has more than one
record for each map feature that is part of your join, the software
computes the total number of records in your data for each map
feature, and the sum, average, minimum and maximum value of each
numeric field in your table.
5. If your data includes records that
don't match any of the features of the map, those records will
not be part of the joined view.
6. If the map layer has features that
don't have matching records in your data file, the joined view
will show that the data for those features are missing.
CHARACTERISTICS OF JOINED VIEWS
1. You don't need to do anything special
to save a joined view. When you save a map, layout or dataview
that is based on a joined view, the software saves the joined
view automatically.
2. When you open a map, dataview or
layout that contains a joined view, the software recreates the
link from the map layer to your data. If the values in
your data file have changed, the map or dataview will show all
of those changes.
3. When your data has more than one
record for each map feature that is part of your join, the software
computes the total number of records in your data for each map
feature, and the sum, average, minimum and maximum value of each
numeric field in your table.
FOR EXAMPLE:
You are doing a join between a list of housing projects in different
cities and your map's city layer. You have more than one project
per city. The software will compute the number of projects per
city in the resulting joined view. In addition, you have other
fields in your data with more information about each of the projects,
such as the level of funding. The software will give you the
sum, average, minimum and maximum level of funding for the projects
in each city.
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