Qlik Sense：Advanced Data Visualization for Your Organization

Appendix A. Bibliography

Summary

Further learning

Model evaluation

Using Rattle to forecast the demand

Creating a Qlik Sense App to control the activity

Exploring the data with Qlik Sense

Understanding the bike rental problem

Chapter 9. Developing a Complete Application

Summary

Further learning

Data storytelling with Qlik Sense

Data analysis data applications and dashboards

Data visualization in Qlik Sense

Chapter 8. Visualizations Data Applications Dashboards and Data Storytelling

Summary

Further learning

Measuring the performance of classifiers

Regression performance

Cross-validation

Chapter 7. Model Evaluation

Summary

Further learning

Other models

Ensemble classifiers

Using a Decision Tree to classify credit risks

Underfitting and overfitting

Entropy and information gain

Decision Tree Learning

Partitioning datasets and model optimization

Chapter 6. Decision Trees and Other Supervised Learning Methods

Summary

Further learning

Machine learning – unsupervised and supervised learning

Chapter 5. Clustering and Other Unsupervised Learning Methods

Summary

Further learning

Analyzing your data

Creating charts

Associative logic

Creating a simple data app

Loading data and creating a data model

Customer segmentation and customer buying behavior

Chapter 4. Creating Your First Qlik Sense Application

Summary

Further learning

Correlations among input variables

Visualizing distributions

Text summaries

Chapter 3. Exploring and Understanding Your Data

Summary

Further learning

Exporting data

Cleaning up

Transforming data

Loading data

Datasets observations and variables

Chapter 2. Preparing Your Data

Summary

Further learning

Exploring Qlik Sense Desktop

Installing Qlik Sense Desktop

Downloading and installing Rattle

Installing the environment

Introducing R Rattle and Qlik Sense Desktop

Purpose of the book

Analytics predictive analytics and data visualization

Chapter 1. Getting Ready with Predictive Analytics

Part 3. Module 3

Keyboard shortcuts in Qlik Sense Desktop

Appendix A. Appendix

Conclusion

Using smart data load profiling

Using Smart Search

Creating dynamic charts in Qlik Sense

Using the Qlik DataMarket

Embedding Qlik Sense application on a website using a single configurator

Using Qlik Dev Hub to generate mashups

Using Extension editor in Qlik Dev Hub

Using the Qlik Dev Hub in Qlik Sense 2.1.1

Exporting stories to MS PowerPoint

Defining variables in Qlik Sense

Using the visual exploration capability in Qlik Sense 2.1.1

Introduction

Chapter 8. What's New in Version 2.1.1?

Using data with extensions

Creating custom components within Qlik Sense visualizations

Defining a Properties panel in Qlik Sense visualizations

Creating an HTML visualization extension for Qlik Sense

Introduction

Chapter 7. Extensions in Qlik Sense

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

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

Using search strings inside a set modifier

Creating a multi-measure expression in Set Analysis

Using embedded functions in Set Analysis

Using comparison sets in Set Analysis

Point in time using Set Analysis

Using the = sign with variables in Set Analysis

Using flags in Set Analysis

Cracking the syntax for Set Analysis

Introduction

Chapter 6. Set Analysis

Using the Peek() function to create a Trial Balance sheet

Using the Peek() function to create a currency Exchange Rate Calendar

Using the For Each loop to extract files from a folder

Setting up a moving annual total figure

Using the Declare and Derive functions to generate Calendar fields

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

Using the Fractile() function to generate quartiles

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

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

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

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

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

Using an extended interval match to handle Slowly Changing Dimensions

Introduction

Chapter 5. Useful Functions

Navigating many data points in a scatter chart

Adding thumbnails – a clear environment

Applying limitations to charts

Creating text and images

Adding Reference Lines to trendline charts

Creating dimensionless bar charts in Qlik Sense

Creating Tree Maps

Effectively using the KPI object in Qlik Sense

Reference lines in Sales versus Target gauge chart

Creating geo maps in Qlik Sense

Publishing a Qlik Sense application to Qlik Sense cloud

Creating private approved and community sheets

Publishing a Qlik Sense application created in Qlik Sense desktop

Introduction

Chapter 4. Managing Apps and User Interface

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

Using a For Each loop to load data from multiple files

Optimizing the reload time of the application

Optimizing the UI calculation speed

How to use sub routines in Qlik Sense

Packaging the code in script files

Efficiently debugging the script

Structuring the script

Introduction

Chapter 3. Scripting

Structuring visualizations

Distribution

Comparison

Relationships

Composition

Using the ColorMix1 function

Associating persistent colors to field values

Highlighting the performance measure in a bar chart

Adding embedded sheets to the story

Creating and adding content to a story

Creating Snapshots

Introduction

Chapter 2. Visualizations

Using a Master Library in the Edit mode

Creating a Master Library from the Data model viewer

Previewing data in the Data model viewer

Invoking help while in the data load editor or the expression editor

Extracting data from custom databases

Activating the Legacy Mode in Qlik Sense desktop

Extracting data from Web Files

Extracting data from databases and data files

Introduction

Chapter 1. Getting Started with the Data

Part 2. Module 2

Summary

How the application was developed

Application features

Problem analysis

Chapter 13. Demographic Data Discovery

Summary

Developing the application

Application features

The business problem

Chapter 12. Travel Expense Discovery

Summary

How the application was developed

Application features

The business problem

Chapter 11. Human Resource Discovery

Summary

Application features

The business problem

Chapter 10. Sales Discovery

Summary

Security

Management and monitoring

Deployment and licensing

The Qlik Sense architecture

Chapter 9. Administering Qlik Sense

Summary

Developer community – Qlik Branch

Qlik Dev Hub

Chapter 8. Extending the Qlik Analytic Platform

Summary

Adding the QlikMarket data

Using the Qlik DataMarket content

Using Qlik Sense apps in the cloud

Why use the cloud?

Chapter 7. Qlik Sense Apps in the Cloud

Summary

The data model viewer

Structuring your data

The Qlik Sense data model

The QIX engine

Chapter 6. Building Qlik Sense Data Models

Summary

Publishing your apps

Migrating applications from QlikView to Qlik Sense

Best practices in data visualization

The application library

The analysis interface—sheets and visualizations

Loading your data

Getting started with the app creation

Preparations and requirements

Chapter 5. Authoring Engaging Applications

Summary

Creating and sharing stories

Realities of the data discovery contributor

Chapter 4. Contributing to Data Discovery

Summary

Data discovery consumption requirements

Chapter 3. Empowering Next Generation Data Discovery Consumers

Summary

Overview of an application's life cycle

Chapter 2. Overview of a Qlik Sense Application's Life Cycle

Summary

Data discovery—the evolution of BI

The Qlik way

What is data discovery?

Qlik Sense and the QlikView.Next project

Continuing disruption

Chapter 1. Qlik Sense and Data Discovery

Part 1. Module 1

Preface

Credits

版权信息

封面

封面

版权信息

Credits

Preface

Part 1. Module 1

Chapter 1. Qlik Sense and Data Discovery

Continuing disruption

Qlik Sense and the QlikView.Next project

What is data discovery?

The Qlik way

Data discovery—the evolution of BI

Summary

Chapter 2. Overview of a Qlik Sense Application's Life Cycle

Overview of an application's life cycle

Summary

Chapter 3. Empowering Next Generation Data Discovery Consumers

Data discovery consumption requirements

Summary

Chapter 4. Contributing to Data Discovery

Realities of the data discovery contributor

Creating and sharing stories

Summary

Chapter 5. Authoring Engaging Applications

Preparations and requirements

Getting started with the app creation

Loading your data

The analysis interface—sheets and visualizations

The application library

Best practices in data visualization

Migrating applications from QlikView to Qlik Sense

Publishing your apps

Summary

Chapter 6. Building Qlik Sense Data Models

The QIX engine

The Qlik Sense data model

Structuring your data

The data model viewer

Summary

Chapter 7. Qlik Sense Apps in the Cloud

Why use the cloud?

Using Qlik Sense apps in the cloud

Using the Qlik DataMarket content

Adding the QlikMarket data

Summary

Chapter 8. Extending the Qlik Analytic Platform

Qlik Dev Hub

Developer community – Qlik Branch

Summary

Chapter 9. Administering Qlik Sense

The Qlik Sense architecture

Deployment and licensing

Management and monitoring

Security

Summary

Chapter 10. Sales Discovery

The business problem

Application features

Summary

Chapter 11. Human Resource Discovery

The business problem

Application features

How the application was developed

Summary

Chapter 12. Travel Expense Discovery

The business problem

Application features

Developing the application

Summary

Chapter 13. Demographic Data Discovery

Problem analysis

Application features

How the application was developed

Summary

Part 2. Module 2

Chapter 1. Getting Started with the Data

Introduction

Extracting data from databases and data files

Extracting data from Web Files

Activating the Legacy Mode in Qlik Sense desktop

Extracting data from custom databases

Invoking help while in the data load editor or the expression editor

Previewing data in the Data model viewer

Creating a Master Library from the Data model viewer

Using a Master Library in the Edit mode

Chapter 2. 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 ColorMix1 function

Composition

Relationships

Comparison

Distribution

Structuring visualizations

Chapter 3. Scripting

Introduction

Structuring the script

Efficiently debugging the script

Packaging the code in script files

How to use sub routines 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

Chapter 4. Managing Apps and 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 Sales versus Target gauge chart

Effectively using the KPI object in Qlik Sense

Creating Tree Maps

Creating dimensionless bar charts in Qlik Sense

Adding Reference Lines to trendline charts

Creating text and images

Applying limitations to charts

Adding thumbnails – a clear environment

Navigating many data points in a scatter chart

Chapter 5. Useful Functions

Introduction

Using an extended interval match to handle Slowly Changing Dimensions

Using the Previous() function to identify the latest record 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

Chapter 6. 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 concat() function in Set Analysis

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

Chapter 7. Extensions in Qlik Sense

Introduction

Creating an HTML visualization extension for Qlik Sense

Defining a Properties panel in Qlik Sense visualizations

Creating custom components within Qlik Sense visualizations

Using data with extensions

Chapter 8. What's New in Version 2.1.1?

Introduction

Using the visual exploration capability in Qlik Sense 2.1.1

Defining variables in Qlik Sense

Exporting stories to MS PowerPoint

Using the Qlik Dev Hub in Qlik Sense 2.1.1

Using Extension editor in Qlik Dev Hub

Using Qlik Dev Hub to generate mashups

Embedding Qlik Sense application on a website using a single configurator

Using the Qlik DataMarket

Creating dynamic charts in Qlik Sense

Using Smart Search

Using smart data load profiling

Conclusion

Appendix A. Appendix

Keyboard shortcuts in Qlik Sense Desktop

Part 3. Module 3

Chapter 1. Getting Ready with Predictive Analytics

Analytics predictive analytics and data visualization

Purpose of the book

Introducing R Rattle and Qlik Sense Desktop

Installing the environment

Downloading and installing Rattle

Installing Qlik Sense Desktop

Exploring Qlik Sense Desktop

Further learning

Summary

Chapter 2. Preparing Your Data

Datasets observations and variables

Loading data

Transforming data

Cleaning up

Exporting data

Further learning

Summary

Chapter 3. Exploring and Understanding Your Data

Text summaries

Visualizing distributions

Correlations among input variables

Further learning

Summary

Chapter 4. Creating Your First Qlik Sense Application

Customer segmentation and customer buying behavior

Loading data and creating a data model

Creating a simple data app

Associative logic

Creating charts

Analyzing your data

Further learning

Summary

Chapter 5. Clustering and Other Unsupervised Learning Methods

Machine learning – unsupervised and supervised learning

Further learning

Summary

Chapter 6. Decision Trees and Other Supervised Learning Methods

Partitioning datasets and model optimization

Decision Tree Learning

Entropy and information gain

Underfitting and overfitting

Using a Decision Tree to classify credit risks

Ensemble classifiers

Other models

Further learning

Summary

Chapter 7. Model Evaluation

Cross-validation

Regression performance

Measuring the performance of classifiers

Further learning

Summary

Chapter 8. Visualizations Data Applications Dashboards and Data Storytelling

Data visualization in Qlik Sense

Data analysis data applications and dashboards

Data storytelling with Qlik Sense

Further learning

Summary

Chapter 9. Developing a Complete Application

Understanding the bike rental problem

Exploring the data with Qlik Sense

Creating a Qlik Sense App to control the activity

Using Rattle to forecast the demand

Model evaluation

Further learning

Summary

Appendix A. Bibliography