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

Creating a modified bullet chart in a straight table


The main components of a bullet chart (from Stephen Few's perceptualedge.com) are as follows:

  • A text label

  • A quantitative scale along a single linear axis

  • The featured measure

  • One or two comparative measures (optional)

  • From two to five ranges along the quantitative scale to declare the featured measure's qualitative state (optional)

The "traditional" approach is to have bar representing the feature measure and a line representing the comparative measure. However, as long as we have two separate representations, the bar is not absolutely necessary.

In this recipe we will present a modified bullet chart using an inline linear gauge in a straight table. This allows users to view the results across all the values in a dimension.

Getting ready

Load the following script:

LOAD * INLINE [
    Country, Sales, Target
    USA, 1000, 1100
    UK, 800, 1000
    Germany, 800, 700
    Japan, 1000, 1000
];

How to do it…

Follow these steps to create a straight table with a modified bullet chart:

  1. Create a new straight table. Set the dimension to be Country. Add three expressions:

    Sum(Sales)
    Sum(Target)
    Sum(Sales)/Sum(Target)
  2. Change the representation of the third expression to Linear Gauge.

  3. Click on the Gauge Settings button and enter the following settings for the gauge:

    Guage Settings, Max

    1.5

    Indicator, Mode

    Show Needle

    Indicator, Style

    Arrow

    Show Scale

    Off

    Autowidth Segments

    Off

    Hide Segment Boundaries

    Off

    Hide Gauge Outlines

    On

  4. There should be two segments already there. Configure these settings:

    Segment 1, Lower Bound

    0.0

    Segment 2, Lower Bound

    1.0

  5. Set the color of both segments to be the same. I usually go for a light gray.

  6. Click on OK. Click on Finish to close the chart wizard.

  7. The modified bullet chart should appear in the straight table.

How it works…

Because we are calculating a percentage here, it is valid to use the same gauge for each dimension (which would not have been valid in a straight table for absolute values).

By using two segments in the linear gauge, the border between them, which we have set to 1 = 100%, presents as a line. This is our target value. The needle of the gauge displays the percentage of sales versus that target.

The user can quickly scan down the table to see the better performing territories. This field is also sortable.

There's more…

Using linear gauges in straight tables can be a great way of visually representing data. It is worth playing around with.

See also

  • The Creating a Stephen Few bullet chart recipe

  • The Creating a bar chart in a straight table recipe

  • The Creating a Redmond Aged Debt Profile chart recipe