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

Formatting a basis axis label based on the scale


When you are working with a time series chart, you may want to set a different format for the base axis labels. Let's suppose you want to have a chart that is listening to a time selector. If you select one-year old data to be displayed on the chart, certainly you are not interested in seeing the minutes on the date label. However, if you want to display the last hour, the ticks of the base axis need to be presented in minutes.

There is an extension point we can use to get a conditional format based on the scale of the base axis. The extension point is baseAxisScale_tickFormatter, and it can be used like in the code as follows:

baseAxisScale_tickFormatter: function(value, dateTickPrecision) { 
    switch(dateTickPrecision) {
         case pvc.time.intervals.y:
             return format_date_year_tick(value);
             break;
         case pvc.time.intervals.m:
             return format_date_month_tick(value);
             break;
      ...