Book Image

QlikView Essentials

By : Chandraish Sinha
Book Image

QlikView Essentials

By: Chandraish Sinha

Overview of this book

This guide demonstrates just how easy it is to get started with QlikView and create your own BI application. Featuring an introduction to its core features before exploring how to load data and model it, you’ll soon become more confident that you can take full advantage of QlikView’s capabilities.. You will also learn how to use QVD files with QlikView – and how they offer a simpler way of handling data. After digging deeper into data handling, as you learn how to use mapping tables and create a master calendar, you’ll then find out how to get the most from QlikView’s visualization features – vital if you are to use your data insights effectively. From accessible and user friendly dashboards to strategies and best practices for subjecting data to further analysis, you can be confident that you’ll be prepared to get the most out of your data with QlikView. With details on how to finally secure your application and deploy it for a successful integration in your organization, QlikView Essentials underlines exactly why QlikView is becoming more and more popular for businesses that understand the value of data.
Table of Contents (15 chapters)
QlikView Essentials
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Index

Some important functions


A variety of powerful functions are available in QlikView to be used in expressions.

The Aggr function

Aggr is a powerful function that aggregates data over the dimensions. It is similar to the Group By clause in SQL. It kind of creates a temporary table of results from which you can select and perform more aggregations. The Aggr function is used when multiple aggregation functions are required in an expression. It is similar to a chart expression based on different dimensions. Aggr can be used in expressions and dimensions:

  1. Navigate to the Top Sales sheet. Go to any empty space on the sheet, right-click, and click on Copy Sheet. This will create a copy of the Top Sales sheet. Change the sheet name to Using Functions. Remove all the charts. Leave the list boxes of Year, Month, and others.

  2. Create a new pivot table. Add Year, SalesPerson Name, Product Line Desc as Dimensions. Check Suppress When Value is Null.

  3. Add Sum(LineSalesAmount) as an expression. Label it as Sales...