You can also use the value of the parent group to compare summary cells. To refer to a summary cell in another header group, use the absolute value of the header group, as shown below:
$cellName['grpName:absolute_value'] e.g., $sales['state:NJ'] $sales['yr:"2002"'] - specify numeric values in quotes
Consider a formula table based on the 'All Sales' query. In this example, you will find the relative sales for each year compared to the fixed year 2002. Follow the steps below:
1. Create a new report, and add a table with three rows and three columns.
2. Add the following script to the report's onLoad Handler to store the results of the 'All Sales' query:
var q = runQuery('All Sales');
![]() |
View a 2-minute demonstration of InetSoft's easy, agile, and robust BI software. |
3. Select cell[1,0] in the table. Right-click on the cell and select 'Format' from the context menu. This opens the 'Format' panel at the bottom. The second toList argument groups the returned dates by year.
a. Select the Data tab. In the 'Binding' panel, select the 'Formula' option, and enter 'toList(q['Order Date'],'date=year')' as the formula.
b. In the 'Cell' panel of the Data tab, enter 'yr' for the 'Cell Name' of cell[1,0].
c. In the 'Expansion' panel of the Data tab, select 'Expand Cell' to set cell[1,0] to expand 'Vertical'.
4. Select cell[1,1] in the table.
a. Select the Data tab. In the 'Binding' panel, select the 'Formula' option, and enter the following formula:
sum(q['Total@=year(field["Order Date"]):$yr'])
In words, this says “for each year in column 'yr', find the 'Order Dates' falling within that year, and sum the 'Totals' for those order dates.” Effectively, this calculates the total revenue generated for a given fiscal year.
b. In the 'Cell' panel of the Data tab, enter 'tot' for the 'Cell Name' of cell[1,1].
5. Select cell[1,2]. In the 'Binding' panel of the Data tab, select the 'Formula' option, and enter the following formula.
$tot - $tot['yr:"2002"']
This formula uses absolute cell referencing to calculate the difference between the total revenue (computed in the column named 'tot') of the current year and the year 2002.The table should appear as shown below:
|
|
|
toList(q['Order Date'], 'date=year') |
sum(q['Total@=
|
$tot - $tot['yr:"2002"']
|
|
|
|
6. Preview the table.
The referenced group can also be specified with a JavaScript expression. The JavaScript expression should be prefixed to the expression string with an '=', as shown below:
$company['state:=iif($type == "T", $state, $province)']
The syntax of the iif function used above is CALC.iif(logical_test, value_if_true, value_if_false).
![]() |
Read how InetSoft saves money and resources with deployment flexibility. |
InetSoft's API and scripting language offer powerful tools for creating and rendering dashboards that can significantly enhance data visualization and analysis capabilities. Understanding when and how to use these tools is crucial for maximizing their benefits. Here's an in-depth exploration of scenarios where using InetSoft's API and scripting language to render dashboards is particularly advantageous:
When dealing with complex data integration and transformation requirements, InetSoft's API and scripting language become essential. Many organizations work with diverse data sources, including databases, spreadsheets, cloud services, and more. The API allows for seamless integration of these sources, enabling real-time data retrieval and updates.
Creating dynamic and interactive dashboards that respond to user input or changes in data can greatly enhance user experience and engagement. InetSoft's scripting language allows for the customization of dashboard components and interactions.
For organizations that need to generate regular reports or send notifications based on specific data conditions, InetSoft's scripting language offers automation capabilities that can save time and reduce manual effort.
When standard chart types and visualizations are insufficient for representing complex data relationships, InetSoft's scripting language provides the flexibility to create custom visualizations.
Integrating dashboards into existing applications or web portals can provide users with seamless access to critical data insights without switching contexts. InetSoft's API is particularly useful for embedding dashboards within other software environments.
In scenarios where different users require personalized views of the same underlying data, InetSoft's scripting language can tailor dashboards to individual needs.
For applications that require real-time data monitoring and streaming, such as operational dashboards in manufacturing or network monitoring systems, InetSoft's API and scripting capabilities are indispensable.
Previous: Report Scripting - Group Numbering |
Next: Formula Table Functions
|