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

Gauge chart


With the next chart, the guage chart, we will expand on the interactivity a bit and demonstrate how drill-downs work. In addition to viewing the static chart, we want the user to be able to click on the chart and have it pull up an external report with the details for a particular user. This is called a drilldown.

The following meter chart will demonstrate an employees sales vs. a target amount per month, let's say 3000, on a 5000 dollar scale. This will be broken out and grouped monthly in the query statement. When the user clicks on the chart, it will bring them to the detail report we created last chapter for Employee sales.

  1. 1. Create a new report titled Employee_Sales_Guage.rptDesign.

  2. 2. From the library, drag over the dsClassicCars data source.

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

    select
    CLASSICMODELS.EMPLOYEES.EMPLOYEENUMBER,
    CLASSICMODELS.EMPLOYEES.LASTNAME || ', ' || CLASSICMODELS.EMPLOYEES.FIRSTNAME name,
    sum(CLASSICMODELS.ORDERDETAILS...
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