Data best suited for
|
Use a clustered bar chart when you want to compare the value of a specific subdimension across multiple dimensions. A bar
chart enables you to compare
values across a related dimension (time or some other variable). Clustering adds the ability to break down a higher-level
trend into more detail across a subdimension (time or some other variable) to provide more relevant information. The subdimensions
represent discrete portions of the total, and the value of one subdimension is not related to the value of another subdimension.
|
Target audience
|
This indicator type is appropriate for all user audiences. Most people find this indicator type familiar and easy to interpret.
|
Data aggregation support
|
This indicator type sums the applicable indicator data.
|
Range support
|
Ranges are not supported.
|
Alert support
|
Alerts are not supported.
|
Link support
|
This indicator type can be used to define a link or as the destination of a link. For
more information about defining an indicator with a hyperlink, see
Adding Links to Indicators or Other Content.
|
Interaction support
|
|
Filter multiple items
support
|
Filtering multiple items is supported. For
more information, see
Supporting Multiple Selections in a Filtered Data Interaction.
|
Display Setting
|
Selection Used for Figure
|
---|---|
X-axis value
|
Product Line
|
Cluster group
|
Month
|
Y-axis value
|
Sales
|
X-axis title
|
<blank> (defaults
to Product Line)
|
Y-axis title
|
Set to Revenue
Note: The Scale Y axis setting
adds the label (millions) to
the title.
|
Scale Y axis
|
This setting is selected.
|
Product Line
(X-axis value)
|
Month
(Cluster group)
|
Sales
(Y-axis value)
|
---|---|---|
Children
|
1
|
$256,803
|
Clothes & Shoes
|
1
|
$2,762,409
|
Outdoors
|
1
|
$2,253,080
|
Sports
|
1
|
$4,393,168
|
Children
|
2
|
$237,388
|
Clothes & Shoes
|
2
|
$1,953,145
|
Outdoors
|
2
|
$1,977,344
|
Sports
|
2
|
$3,607,938
|