Pivots |
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Overview
Pivots offer data visualization in a hierarchical grid.
Data can be added to the pivot, nested into a hierarchy, formatted and configured to interact with other Dashboard Items.
Adding Data
Data fields are bound to the Pivot by dragging them to the Data Items Pane as a Value, Column or Row.
Additionally, Hidden Data Items can be used for additional configurations, such as filtering, without displaying the field in the Pivot.
Working with Pivot Data
Each Dashboard Item has different requirements for the data you add to it. Pivots use Values, Columns and Rows.
For example, to view the total hours for each project by year, add:
Columns can be further broken out by adding additional fields to Values.
Hierarchy can be added to the pivot by binding additional fields to Columns or Rows. Once hierarchy is added, the pivot will display expand/collapse icons which can be used to view or hide the added hierarchy.
TIP: If you’ve added data to the Pivot but don’t see it reflected, click the Refresh button above the Field List in the Data Browser (left-hand pane of the designer).
Conditional Formatting
Once data is added to the pivot, it can be formatted in a variety of ways to help visualize otherwise static data points, highlighting cells that meet certain defined criteria.
Pivots support conditional formatting on Values, Columns and Rows.
Formatting can be added by clicking Edit Rules from the toolbar or by clicking Options>Add Format Rule from the data item (Options Button- down arrow - becomes visible when hovering over the data field in the Data Items pane).
For example, to color a cell green if the sum of hours exceeds 100 hours on a given project:
Pivot Tools
Pivots feature a specific set of design and data tools, available from the toolbar (some options are also available by right-clicking the pivot).
Data
The Data Tab includes several options for shaping your data.
Design
Pivots allow the following design options.
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