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Qlik Sense：Advanced Data Visualization for Your Organization
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Index
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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