Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
BIRT 2.6 Data Analysis and Reporting

You're reading from   BIRT 2.6 Data Analysis and Reporting Create, Design, Format, and Deploy Reports with the world's most popular Eclipse-based Business Intelligence and Reporting Tool

Arrow left icon
Product type Paperback
Published in Jul 2010
Publisher Packt
ISBN-13 9781849511667
Length 360 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
John Ward John Ward
Author Profile Icon John Ward
John Ward
Arrow right icon
View More author details
Toc

Table of Contents (15) Chapters Close

BIRT 2.6 Data Analysis and Reporting
Credits
About the Author
About the Reviewers
1. Preface
1. Getting Started 2. Installing BIRT FREE CHAPTER 3. The BIRT Environment and First Report 4. Visual Report Items 5. Working with Data 6. Report Parameters 7. Report Projects and Libraries 8. Charts, Hyperlinks, and Drilldowns 9. Scripting and Event Handling 10. Deployment

Bar chart


In the earlier section, we saw some of the power that charting can have with reports, by adding both the graphical representation of data and the interactivity for users to see the details of that data in a separate report. We also saw how to pass data through to the target report by using the expression. In this report, the hyperlink will take us to an internal bookmark, which means it will jump us to a location inside the same report containing the details for our report. We will also look at aggregating values inside the chart so that we can provide a simple query that just retrieves the necessary details and lets BIRT handle the tricky stuff for us.

  1. 1. Create a new report called EmployeeSalesPerformanceReport.rptDesign.

  2. 2. Use the dsClassicCars data source in the library.

  3. 3. Create a new dataset called employeeSales, using the following query:

    select
    CLASSICMODELS.EMPLOYEES.EMPLOYEENUMBER,
    CLASSICMODELS.EMPLOYEES.LASTNAME || ', ' || CLASSICMODELS.EMPLOYEES.FIRSTNAME name,
    CLASSICMODELS...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime