Qlik Sense Cookbook - Second Edition

Qlik Sense Cookbook - Second Edition

By : Pablo Labbe, Philip Hand, Neeraj Kharpate

Buy this Book

Qlik Sense Cookbook - Second Edition

By: Pablo Labbe, Philip Hand, Neeraj Kharpate

Buy this Book

Overview of this book

Qlik Sense allows you to explore simple and complex data to reveal hidden insight and data relationships that help you make quality decisions for overall productivity. An expert Qlik Sense user can use its features for business intelligence in an enterprise environment effectively. Qlik Sense Cookbook is an excellent guide for all aspiring Qlik Sense developers and will empower you to create featured desktop applications to obtain daily insights at work. This book takes you through the basics and advanced functions of Qlik Sense February 2018 release. You’ll start with a quick refresher on obtaining data from data files and databases, and move on to some more refined features including visualization, and scripting, as well as managing apps and user interfaces. You will then understand how to work with advanced functions like set analysis and set expressions. As you make your way through this book, you will uncover newly added features in Qlik Sense such as new visualizations, label expressions and colors for dimension and measures. By the end of this book, you will have explored various visualization extensions to create your own interactive dashboard with the required tips and tricks. This will help you overcome challenging situations while developing your applications in Qlik Sense.

Title Page

Packt Upsell

Contributors

Preface

Free Chapter

Getting Started with the Data

Introduction

Extracting data from databases and data files

Extracting data from web files

Extracting data from the FTP server

Extracting data from web services with REST Connector

Activating the legacy mode in Qlik Sense® desktop

Previewing data in the Data model viewer

Creating a master library from the Data model viewer

Using a master library in Edit mode

Using visual data preparation on the data manager model viewer

Visualizations

Introduction

Creating snapshots

Creating and adding content to a story

Adding embedded sheets to the story

Highlighting the performance measure in a bar chart

Associating persistent colors to field values using the script

Using the colormix1 function

Structuring visualizations

Measuring statistical data with box plot charts

Using a waterfall chart to analyze the cumulative effect

Scripting

Introduction

Structuring the script

Efficiently debugging the script

Packaging the code in script files

How to use subroutines in Qlik Sense®

Optimizing the UI calculation speed

Optimizing the reload time of the application

Using a For each loop to load data from multiple files

Using the Concat() function to store multiple field values in a single cell

Executing command-line programs within the script

Managing Apps and the User Interface

Introduction

Publishing a Qlik Sense® application created in Qlik Sense® Desktop

Creating private, approved, and community sheets

Publishing a Qlik Sense® application to Qlik Sense® Cloud

Creating geo maps in Qlik Sense®

Reference lines in a Sales versus Target gauge chart

Effectively using the KPI object in Qlik Sense®

Creating treemaps

Creating dimensionless bar charts in Qlik Sense®

Adding reference lines to trendline charts

Creating text and images

Applying limitations to charts

Adding thumbnails to a clear environment

Navigating many data points in a scatter chart

Using alternative dimensions and measures

Using the visual exploration menu

Useful Functions

Introduction

Using an extended interval match to handle slowly changing dimensions

Using the Previous() function to identify the latest record read for a dimensional value

Using the NetworkDays() function to calculate the working days in a calendar month

Using the Concat() function to display a string of field values as a dimension

Using the Minstring() function to calculate the age of the oldest case in a queue

Using the RangeSum() function to plot cumulative figures in trendline charts

Using the Fractile() function to generate quartiles

Using the FirstSortedValue() function to identify the median in a quartile range

Using the Declare and Derive functions to generate Calendar fields

Setting up a moving annual total figure

Using the For Each loop to extract files from a folder

Using the Peek() function to create a currency exchange rate calendar

Using the Peek() function to create a trial balance sheet

Using the subfield() function to split field into multiple records

Using the dual() function to set the sort order of dimensions

Set Analysis

Introduction

Cracking the syntax for Set Analysis

Using flags in Set Analysis

Using the = sign with variables in Set Analysis

Point in Time using Set Analysis

Using comparison sets in Set Analysis

Using embedded functions in Set Analysis

Creating a multi-measure expression in Set Analysis

Using search strings inside a set modifier

Capturing a list of field values using a Cconcat() function in Set Analysis

Using the element functions P() and E() in Set Analysis

Using the intersection between sets for Basket Analysis

Using alternate states

Using Extensions in Qlik Sense

Introduction

Finding extensions on Qlik Branch

How to import extensions (Desktop and Server)

Using the Variable extension

Using the Reload button extension

Using the simple KPI extension

Using the ShowHide Container extension

Advanced Aggregation with AGGR

Introduction

Using nested aggregations

Using Rank() with Aggr

Combining set analysis with Aggr

Creating an ABC analysis

Tips and Tricks

Introduction

Working with multiple tabs

Using the keyboard to navigate and interact

Working with the distinct clause

Managing variables in the script and layout

Using measure names in object expressions

Creating dynamic charts

Other Books You May Enjoy

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Index

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Previewing data in the Data model viewer

As any experienced Qlik developer will tell you, the Data model viewer is a key component you will undoubtedly use on your Qlik journey. Qlik Sense has brought with it some nice new features. We will also delve into the different insights that can be gleaned from the Data model viewer:

Getting ready

For this recipe, we will make use of the Data model viewer.qvf application. This file is available for download on the Packt Publishing website.

How to do it…

Open the Data model viewer.qvf application that has been downloaded from the resource library.
Click on Data model viewer in the Navigation drop-down on the toolbar.

How it works…

In this section, we will see how the different types of data are viewed.

Viewing the data model

The data model consists of a number of tables joined by the key fields. The following screenshot contains functions that can be used to manipulate the layout of the data model:

The details of the available keys (from right to left) are given as follows:

Collapse all: This reduces the tables to just their headers, thus hiding all the fields
Show linked fields: Expands the tables enough to only display the key fields in each
Expand all: Displays all the fields for each table
Internal table viewer: Shows the internal representation of the data model
Layout: Provides options to auto-align the table grid or space out across the screen
Show preview: Toggles the data preview screen to either on or off

Viewing the associations

Clicking on a table will highlight its associated tables in orange. The customer's table is selected in the following screenshot and the shared key here is Address Number:

Click on the CustomerAddress table to see a highlighted expansion, via the state key, as shown:

Table metadata

The Data model viewer also provides information on the contents of each table.

Click the header of the customer address table, and then open the Preview pane by clicking the Preview button in the bottom-left corner.

The following preview will be displayed at the bottom of the screen:

Along with a small snippet of the table's contents, the far-left table also provides some high-level table information about the number of rows, fields, keys, and any tags.

Next, click the Address Number field from the Customers table in the Data model viewer.

You can now see more detailed information about the individual field.

These are:

Density
Subset ratio
Has duplicates
Total distinct values
Present distinct values
Non-null values
Tags

This information is very helpful when we are debugging issues. If a count does not return the expected result, you may want to ensure that there are no duplicates.

If a selection is not filtered correctly, you may want to check the subset ratio of the key and so on.

There's more…

Double-clicking a table header in the Data model viewer will either collapse or expand the table fully.

Qlik Sense Cookbook - Second Edition

By : Pablo Labbe, Philip Hand, Neeraj Kharpate

Qlik Sense Cookbook - Second Edition

By: Pablo Labbe, Philip Hand, Neeraj Kharpate

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