Book Image

Learning Pentaho CTools

By : Miguel Gaspar
Book Image

Learning Pentaho CTools

By: Miguel Gaspar

Overview of this book

Pentaho and CTools are two of the fastest and most rapidly growing tools for practical solutions not found in any other tool available on the market. Using Pentaho allows you to build a complete analytics solution, and CTools brings an advanced flexibility to customizing them in a remarkable way. CTools provides its users with the ability to utilize Web technologies and data visualization concepts, and make the most of best practices to create a huge visual impact. The book starts with the basics of the framework and how to get data to your dashboards. We'll take you all the way through to create your custom and advanced dashboards that will create an effective visual impact and provide the best user experience. You will be given deep insights into the lifecycle of dashboards and the working of various components. Further, you will create a custom dashboard using the Community Dashboards Editor and use datasources to load data on the components. You will also create custom content using Query, the Freeform Addins Popup, and text components. Next, you will make use of widgets to create similar sections and duplicate components to reproduce other components on a dashboard. You will then learn to build a plugin without writing Java code, use Sparkl as a CPK plugin manager, and understand the application of deployment and version control to dashboard development. Finally, you will learn tips and tricks that can be very useful while embedding dashboards into other applications. This guide is an invaluable tutorial if you are planning to use custom and advanced dashboards among the solutions that you are building with Pentaho.
Table of Contents (17 chapters)
Learning Pentaho CTools
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Mandatory and desirable properties


Among other properties such as name, datasource, and htmlObject, other chart properties are mandatory. The height is really important, because if you don't set the height of the chart, you will not fit the chart in the dashboard. The height should also be specified in pixels.

If you don't set the width of the component, or to be more precise, then the chart will grab the width of the element where it's being rendered it will grab the width of the HTML element with the name specified in the htmlObject property.

The seriesInRows, crosstabMode, and timeseries properties are optional but, depending on the kind of chart you are generating, you might want to specify them. The use of these properties becomes clear if we can also see the output of the queries we are executing. We need to go deeper into the properties that are related to the data mapping to visual elements.