Book Image

QlikView for Developers Cookbook

By : Stephen Redmond
Book Image

QlikView for Developers Cookbook

By: Stephen Redmond

Overview of this book

QlikView has been around since 1993, but has only really taken off in recent years as a leader in the in-memory BI space and, more recently, in the data discovery area. QlikView features the ability to consolidate relevant data from multiple sources into a single application, as well as an associative data model to allow you to explore the data to a way your brain works, state-of-the-art visualizations, dashboard, analysis and reports, and mobile data access. QlikView for Developers Cookbook builds on your initial training and experiences with QlikView to help you become a better developer. This book features plenty of hands-on examples of many challenging functions. Assuming a basic understanding of QlikView development, this book provides a range of step-by-step exercises to teach you different subjects to help build your QlikView developer expertise. From advanced charting and layout to set analysis; from advanced aggregations through to scripting, performance, and security, this book will cover all the areas that you need to know about. The recipes in this book will give you a lot of the information that you need to become an excellent QlikView developer.
Table of Contents (19 chapters)
QlikView for Developers Cookbook
Credits
Foreword
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Showing only the top 3 values in a pivot table


In version 11, QlikView introduced the feature Dimension Limits for most of the charts. This feature allows you to limit the number of values displayed based on a certain criteria; most usually, the value is in the top X (whatever X you want). It also allows you to include an Others dimension value for everything else outside the top X.

This feature is not available for gauge charts (which don't usually have a dimension anyway) and pivot tables.

In this recipe, we are going to implement the feature using AGGR in a pivot table.

Getting ready

Load the following script:

LOAD * INLINE [
  Year, Country, Sales
  2010, USA, 6013
  2011, USA, 5295
  2012, USA, 5551
  2013, USA, 6932
  2010, UK, 4512
  2011, UK, 3976
  2012, UK, 4691
  2013, UK, 5276
  2010, Japan, 2765
  2011, Japan, 2567
  2012, Japan, 3111
  2013, Japan, 3234
  2010, Germany, 4374
  2011, Germany, 5673
  2012, Germany, 4322
  2013, Germany, 7654
  2010, France, 4965
  2011, France, 5097...