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Qlik Sense：Advanced Data Visualization for Your Organization

Dr. Christopher Ilacqua Dr. Henric Cronstr?m James Richardson Philip Hand Neeraj Kharpate Ferran Garcia Pagans 著

更新時間：2021-07-02 20:12:29

開會員，本書免費讀 >

Thiscourseisforanyonewhowishestounderstandandutilizethevariousnewapproachestobusinessintelligenceactivelyintheirbusinesspractice.Knowingthebasicsofbusinessintelligenceconceptswouldbehelpfulwhenpickingupthiscourse,butisnotmandatory.

目錄(241章)

倒序

封面
版權信息
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
Index 更新時間：2021-07-02 20:12:29

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Qlik Sense：Advanced Data Visualization for Your Organization