Query-based views are the table view, chart views, and relational table-based topology view. They are distinguished from other workspace views by their ability to show monitoring data from agents and from external JDBC or ODBC data sources for which you have written SQL statements. Use these views for on-demand reporting of current and past (historical) data samplings.
The predefined workspaces for your product include chart and table views. These views are the first step to getting something meaningful from the data being collected. When you understand what values and states are causing problems, you can refine your views to show what is important. Additionally, the topology view can express the relationships between attributes as connected objects when the topology source is relational table-based.
- Table
A table shows a column for each
attribute and one or more rows of data. You can also get table views
to show data samplings over a period of time. The attribute group
queried by the view must be either a historical attribute group or
have been configured for historical data collection, in which case
you will see a 
Time Span tool in the view toolbar for
setting the time period. - Chart
A pie chart has a slice for every data point
in a single data series (row). Pie charts best show the proportional
value of related attributes to a whole, such as the percentage attributes
that show how memory is being used.
A bar chart displays a bar for each data point. Bar charts
are best suited for comparing values among related attributes. The
stacking bar chart best shows multiple values for the same attribute.
A plot chart shows changes over a period
of time by drawing a continuous line from one data point to the next,
one data point for each data sampling and one line for each attribute
selected. The plot chart best shows trends over time and among related
attributes. 
An area chart is
almost identical to a plot chart except that the area between the
axis and each plot line is filled with color or a pattern.
A circular gauge chart shows the
proportional amount of a data series, one gauge for each attribute
chosen. This type of chart is well suited for showing individual elements
that change frequently, such as percentage user time.
A linear gauge chart shows the collective value of every
item in a single data series, one gauge for each attribute chosen.
This type of chart is well suited for showing cumulative values.- Topology
A
Topology view shows the arrangement of monitored components
associated with its Navigator item. It is considered a query-based
view when it has been created as a relational table-based topology
view, which is appropriate for attributes that can show the relationship
to other attributes in their group as connected objects.