Qlik Sense: Advanced Data Visualization for Your Organization

(ebook) (audiobook) (audiobook)

Autorzy:: Philip Hand, James Richardson, Neeraj Kharpate, Ferran Garcia Pagans, Henric Cronström

Qlik Sense: Advanced Data Visualization for Your Organization Philip Hand, James Richardson, Neeraj Kharpate, Ferran Garcia Pagans, Henric Cronström - okładka książki

Qlik Sense: Advanced Data Visualization for Your Organization Philip Hand, James Richardson, Neeraj Kharpate, Ferran Garcia Pagans, Henric Cronström - okładka audiobooka MP3

Qlik Sense: Advanced Data Visualization for Your Organization Philip Hand, James Richardson, Neeraj Kharpate, Ferran Garcia Pagans, Henric Cronström - okładka audiobooks CD

Wydawnictwo:: Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:: Bądź pierwszym, który oceni tę książkę
Stron:: 764
Dostępne formaty:: PDF

ePub

Ebook

269,00 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

Przenieś na półkę

Do przechowalni

Qlik Sense is powerful and creative visual analytics software that allows users to discover data, explore it, and dig out meaningful insights in order to make a profit and make decisions for your business. This course begins by introducing you to the features and functions of the most modern edition of Qlik Sense so you get to grips with the application.

The course will teach you how to administer the data architecture in Qlik Sense, enabling you to customize your own Qlik Sense application for your business intelligence needs. It also contains numerous recipes to help you overcome challenging situations while creating fully featured desktop applications in Qlik Sense. It explains how to combine Rattle and Qlik Sense Desktop to apply predictive analytics to your data to develop real-world interactive data applications. The course includes premium content from three of our most popular books:

[*] Learning Qlik Sense: The Official Guide Second Edition

[*] Qlik Sense Cookbook

[*] Predictive Analytics using Rattle and Qlik Sense

On completion of this course, you will be self-sufficient in improving your data analysis and will know how to apply predictive analytics to your datasets. Through this course, you will be able to create predictive models and data applications, allowing you to explore your data insights much deeper.

Wybrane bestsellery

Ebooka przeczytasz na:

czytnikach Inkbook, Kindle, Pocketbook
i innych
systemach Windows, MacOS i innych

systemach Windows, Android, iOS, HarmonyOS
na dowolnych urządzeniach i aplikacjach obsługujących formaty: PDF, EPub, Mobi

Masz pytania? Zajrzyj do zakładki Pomoc »

Audiobooka posłuchasz:

w aplikacji Ebookpoint na Android, iOS, HarmonyOs
na systemach Windows, MacOS i innych

na dowolonych urządzeniach
i aplikacjach obsługujących format MP3
(pliki spakowane w ZIP)

Masz pytania? Zajrzyj do zakładki Pomoc »

Kurs Video zobaczysz:

Oceny i opinie klientów: Qlik Sense: Advanced Data Visualization for Your Organization Philip Hand, James Richardson, Neeraj Kharpate, Ferran Garcia Pagans, Henric Cronström (0) Weryfikacja opinii następuję na podstawie historii zamówień na koncie Użytkownika umieszczającego opinię. Użytkownik mógł otrzymać punkty za opublikowanie opinii uprawniające do uzyskania rabatu w ramach Programu Punktowego.

Szczegóły książki

Tytuł oryginału:: Qlik Sense: Advanced Data Visualization for Your Organization
ISBN Ebooka:: 978-17-889-9872-7, 9781788998727
Data wydania ebooka:: 2017-12-27 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: angielski
Rozmiar pliku Pdf:: 17.5MB
Rozmiar pliku ePub:: 47.4MB

Kategorie:
Big Data » Analiza danych

Spis treści książki

Qlik Sense: Advanced Data Visualization for Your Organization
- Table of Contents
- Qlik Sense: Advanced Data Visualization for Your Organization
- Credits
- Preface
  - What this learning path covers
  - What you need for this learning path
  - Who this learning path is for
  - Reader feedback
  - Customer support
    - Downloading the example code
    - Errata
    - Piracy
    - Questions
- 1. Module 1
  - 1. Qlik Sense and Data Discovery
    - Continuing disruption
    - Qlik Sense and the QlikView.Next project
      - Making sense of modern business
    - What is data discovery?
      - The empowered user
      - Interaction with data
      - Traditional business intelligence architecture
    - The Qlik way
      - Color coding
      - Freedom of data navigation
      - Calculation on demand
    - Data discoverythe evolution of BI
    - Summary
  - 2. Overview of a Qlik Sense Applications Life Cycle
    - Overview of an application's life cycle
      - Starting application authoring
      - What makes up a Qlik Sense application?
      - Sharing an application
      - Continuing the application's life cycle
    - Summary
  - 3. Empowering Next Generation Data Discovery Consumers
    - Data discovery consumption requirements
      - Introducing the hub
      - Introducing streams
      - Exploring the components of the application
        
        Sheets
        
        Bookmarks
        
        Data storytelling
      - Navigating and leveraging the associative experience
        
        Navigation
        
        Smart visualizations
        
        Global search
        
        Global filtering
      - Extending with Library
    - Summary
  - 4. Contributing to Data Discovery
    - Realities of the data discovery contributor
      - Creating private bookmarks
      - Creating and sharing private sheets
        
        Creating a private sheet
        
        Publishing a private sheet
        
        Creating a new sheet
        
        Adding a predefined visualization to a new sheet
        
        Creating a Combo chart object
        
        Publishing a private sheet
    - Creating and sharing stories
      - Defining a story
        
        Creating snapshots
        
        Adding text
        
        Adding shapes
        
        Media library
      - Publishing your story
    - Summary
  - 5. Authoring Engaging Applications
    - Preparations and requirements
      - The requirement specifications
      - The communication problem
      - A step-wise implementation
      - The process
    - Getting started with the app creation
      - Creating a new app
    - Loading your data
      - Loading additional tables
      - Using the Data load editor
      - Creating a database connection
      - Data connectors
    - The analysis interfacesheets and visualizations
      - Creating a sheet
      - Adding visualizations
      - Adding dimensions and measures
      - Defining bar charts
      - Storytelling
    - The application library
      - Which fields should be exposed?
      - Defining KPIs
      - Creating library entries
    - Best practices in data visualization
      - Dashboard
      - Analysis
      - Reporting
      - Structuring a sheet
      - Graphs and other visualizations
      - Dimensions and measures
        
        The bar chart
        
        The pie chart
        
        The line chart
        
        The KPI object
        
        The gauge
        
        The scatter chart
        
        The tree map
        
        The geographical map
        
        Tables
        
        Sorting and colors
    - Migrating applications from QlikView to Qlik Sense
      - Changes to the script
      - Changes to the user interface
    - Publishing your apps
    - Summary
  - 6. Building Qlik Sense Data Models
    - The QIX engine
    - The Qlik Sense data model
      - Creating a multitable data model
      - Linking tables
    - Structuring your data
      - Normalization
      - Star schema and snowflake schema
      - Pitfalls in the data model
    - The data model viewer
      - Using preview mode
    - Summary
  - 7. Qlik Sense Apps in the Cloud
    - Why use the cloud?
      - Cloud sharing
      - Cloud content
    - Using Qlik Sense apps in the cloud
      - Uploading an app from the desktop
      - Creating an app in Qlik Sense Cloud
      - Sharing an app in Qlik Sense Cloud
      - Maintaining Qlik Sense Cloud apps
    - Using the Qlik DataMarket content
    - Adding the QlikMarket data
    - Summary
  - 8. Extending the Qlik Analytic Platform
    - Qlik Dev Hub
      - Web mashups
      - Extending the Qlik Sense client
      - Engine API Explorer
    - Developer community Qlik Branch
    - Summary
  - 9. Administering Qlik Sense
    - The Qlik Sense architecture
      - Services
      - Clients
      - Applications
      - Nodes
      - Streams
    - Deployment and licensing
      - Single node or multinode
      - License and access passes
      - Tokens
      - Access rules
    - Management and monitoring
      - Importing and managing apps
      - Importing extensions
      - Users and user directories
      - Defining streams
      - Connectivity management
      - Tasks
      - System management
      - Security rules
      - Monitoring
    - Security
      - Authentication and authorization
      - Content security
    - Summary
  - 10. Sales Discovery
    - The business problem
    - Application features
      - Who are our top customers?
      - The 360-degree customer view
      - Filtering customers
        
        Reviewing shipments for top customers
        
        Reviewing the bottom five customers
      - Who are our most productive sales representatives?
        
        Analyzing products
        
        Analyzing customer sales
      - Building the application
        
        The SalesDetails table
        
        The Customers table
        
        The AggSales table
        
        US States ISO CODE 2 polygons
      - Analyzing the Sales Discovery Library
        
        Dimensions
        
        Measures
        
        Visualizations
    - Summary
  - 11. Human Resource Discovery
    - The business problem
    - Application features
      - Sheets
      - Training costs
      - Using the global selector
    - How the application was developed
      - Dimensions
    - Summary
  - 12. Travel Expense Discovery
    - The business problem
    - Application features
      - Tracking expenses
        
        Analyzing expenses overspent
      - Digging deeper into the data
        
        Creating an analysis story for travel expenses
        
        Creating an overview
        
        Sharing our analysis
        
        Finishing the story
    - Developing the application
      - Examining the key tables
        
        Expenses
        
        PerDiemRates
        
        Airfare
        
        Department
        
        Budget
        
        LinkTable
      - Dimensions
        
        Measures
        
        Visualizations
    - Summary
  - 13. Demographic Data Discovery
    - Problem analysis
    - Application features
      - Analysis
      - Using the lasso selector to make selections
      - Using the global selector to make selections
    - How the application was developed
      - Dimensions
      - Measures
    - Summary
- 2. Module 2
  - 1. Getting Started with the Data
    - Introduction
    - Extracting data from databases and data files
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Extracting data from Web Files
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Activating the Legacy Mode in Qlik Sense desktop
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Extracting data from custom databases
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Invoking help while in the data load editor or the expression editor
      - Getting ready
      - How to do it
      - There's more
      - See also
    - Previewing data in the Data model viewer
      - Getting ready
      - How to do it
      - How it works...
        
        Viewing the data model
        
        Viewing the associations
        
        Table Meta Data
      - There's more...
    - Creating a Master Library from the Data model viewer
      - Getting ready
      - How to do it...
      - How it works...
      - There's more
    - Using a Master Library in the Edit mode
      - Getting ready
      - How to do it...
      - There's more
  - 2. Visualizations
    - Introduction
    - Creating Snapshots
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Creating and adding content to a story
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Adding embedded sheets to the story
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Highlighting the performance measure in a bar chart
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Associating persistent colors to field values
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the ColorMix1 function
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Composition
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Relationships
      - Getting ready
      - How to do it
      - How it works
    - Comparison
      - Getting ready
      - How to do it
      - How it works
      - See also
    - Distribution
      - Getting ready
      - How to do it
      - How it works
    - Structuring visualizations
      - Getting ready
      - How to do it
      - How it works
  - 3. Scripting
    - Introduction
    - Structuring the script
      - Getting ready
      - How to do it
      - How it works
    - Efficiently debugging the script
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Packaging the code in script files
      - Getting ready
      - How to do it
      - How it works
      - See also
    - How to use sub routines in Qlik Sense
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Optimizing the UI calculation speed
      - Getting ready
      - How to do it
      - How it works
    - Optimizing the reload time of the application
      - Getting ready
      - How to do it
      - How it works
    - Using a For Each loop to load data from multiple files
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Using the Concat function to store multiple field values in a single cell
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
  - 4. Managing Apps and User Interface
    - Introduction
    - Publishing a Qlik Sense application created in Qlik Sense desktop
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Creating private, approved, and community sheets
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Publishing a Qlik Sense application to Qlik Sense cloud
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Creating geo maps in Qlik Sense
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Reference lines in Sales versus Target gauge chart
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Effectively using the KPI object in Qlik Sense
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Creating Tree Maps
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Creating dimensionless bar charts in Qlik Sense
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Adding Reference Lines to trendline charts
      - Getting ready
      - How to do it
      - How it works
    - Creating text and images
      - Getting ready
      - How to do it
        
        Adding Images
        
        Adding Text
      - How it works
    - Applying limitations to charts
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Adding thumbnails a clear environment
      - Getting ready
      - How to do it
      - How it works
    - Navigating many data points in a scatter chart
      - Getting ready
      - How to do it
      - How it works
      - There's more
  - 5. Useful Functions
    - Introduction
    - Using an extended interval match to handle Slowly Changing Dimensions
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the Previous() function to identify the latest record for a dimensional value
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the NetworkDays() function to calculate the working days in a calendar month
      - Getting ready
      - How to do it
      - How it works
      - See also
    - Using the Concat() function to display a string of field values as a dimension
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the Minstring() function to calculate the age of the oldest case in a queue
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the Rangesum() function to plot cumulative figures in trendline charts
      - Getting ready
      - How to do it
      - How it works
      - See also
    - Using the Fractile() function to generate quartiles
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the FirstSortedValue() function to identify the median in a quartile range
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the Declare and Derive functions to generate Calendar fields
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Setting up a moving annual total figure
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the For Each loop to extract files from a folder
      - Getting ready
      - How to do it
      - How it works
    - Using the Peek() function to create a currency Exchange Rate Calendar
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the Peek() function to create a Trial Balance sheet
      - Getting ready
      - How to do it
      - How it works
      - See also
  - 6. Set Analysis
    - Introduction
    - Cracking the syntax for Set Analysis
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using flags in Set Analysis
      - Getting ready
      - How to do it
      - How it Works
      - There's more
      - See also
    - Using the = sign with variables in Set Analysis
      - Getting ready
      - How to do it
      - How it works
      - See also
    - Point in time using Set Analysis
      - Getting ready
      - How to do it
      - How it works
    - Using comparison sets in Set Analysis
      - Getting ready
      - How to do it
      - How it works
    - Using embedded functions in Set Analysis
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Creating a multi-measure expression in Set Analysis
      - Getting ready
      - How to do it
      - How it works
    - Using search strings inside a set modifier
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Capturing a list of field values using a concat() function in Set Analysis
      - Getting ready
      - How to do it
      - How it works
    - Using the element functions P() and E() in Set Analysis
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
  - 7. Extensions in Qlik Sense
    - Introduction
    - Creating an HTML visualization extension for Qlik Sense
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Defining a Properties panel in Qlik Sense visualizations
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Creating custom components within Qlik Sense visualizations
      - Getting ready
      - How to do it
      - How it works
      - There's more
    - Using data with extensions
      - Getting ready
      - How to do it
      - How it works
      - See also
  - 8. What's New in Version 2.1.1?
    - Introduction
    - Using the visual exploration capability in Qlik Sense 2.1.1
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Defining variables in Qlik Sense
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Exporting stories to MS PowerPoint
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the Qlik Dev Hub in Qlik Sense 2.1.1
      - Getting ready
      - How to do it
        
        Single configurator
        
        Extensions editor
        
        Mashup editor
      - How it works
      - There's more
        
        Single configurator
        
        Extension editor
      - See also
    - Using Extension editor in Qlik Dev Hub
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using Qlik Dev Hub to generate mashups
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Embedding Qlik Sense application on a website using a single configurator
      - Getting ready
      - How to do it
      - How it works
      - There's more
      - See also
    - Using the Qlik DataMarket
      - Getting ready
      - How to do it
      - How it works
      - See also
    - Creating dynamic charts in Qlik Sense
      - Getting ready
      - How to do it
      - How it works
      - There's More.
    - Using Smart Search
      - Getting ready
      - How to do it
      - How it works
      - There's More.
      - See also
    - Using smart data load profiling
      - Getting ready
      - How to do it
      - How it works
      - There's More.
    - Conclusion
  - A. Appendix
    - Keyboard shortcuts in Qlik Sense Desktop
- 3. Module 3
  - 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 R
      - Starting the R Console to test your R installation
    - Downloading and installing Rattle
    - Installing Qlik Sense Desktop
    - Exploring Qlik Sense Desktop
    - Further learning
    - Summary
  - 2. Preparing Your Data
    - Datasets, observations, and variables
    - Loading data
      - Loading a CSV File
    - Transforming data
      - Transforming data with Rattle
        
        Rescaling data
        
        Using the Impute option to deal with missing values
        
        Recoding variables
        
        Binning
      - Indicator variables
        
        Join Categories
        
        As Category
        
        As Numeric
    - Cleaning up
    - Exporting data
    - Further learning
    - Summary
  - 3. Exploring and Understanding Your Data
    - Text summaries
      - Summary reports
        
        Measures of central tendency mean, median, and mode
        
        Measures of dispersion range, quartiles, variance, and standard deviation
        
        Range
        
        Quartiles
        
        Variance
        
        Standard deviation
        
        Measures of the shape of the distribution skewness and kurtosis
      - Showing missing values
    - Visualizing distributions
      - Numeric variables
        
        Box plots
        
        Histograms
        
        Cumulative plots
      - Categorical variables
        
        Bar plots
        
        Mosaic plots
    - Correlations among input variables
      - The Explore Missing and Hierarchical options
    - Further learning
    - Summary
  - 4. Creating Your First Qlik Sense Application
    - Customer segmentation and customer buying behavior
    - Loading data and creating a data model
      - Preparing the data
    - Creating a simple data app
    - Associative logic
    - Creating charts
    - Analyzing your data
    - Further learning
    - Summary
  - 5. Clustering and Other Unsupervised Learning Methods
    - Machine learning unsupervised and supervised learning
      - Cluster analysis
        
        Centroid-based clustering the using K-means algorithm
        
        Customer segmentation with K-means clustering
        
        Preparing the data in Qlik Sense
        
        Creating a customer segmentation sheet in Qlik Sense
      - Hierarchical clustering
      - Association analysis
    - Further learning
    - Summary
  - 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
      - Using Rattle to score new loan applications
      - Creating a Qlik Sense application to predict credit risks
    - Ensemble classifiers
      - Boosting
      - Random Forest
      - Supported Vector Machines
    - Other models
      - Linear and Logistic Regression
      - Neural Networks
    - Further learning
    - Summary
  - 7. Model Evaluation
    - Cross-validation
    - Regression performance
      - Predicted versus Observed Plot
    - Measuring the performance of classifiers
      - Confusion matrix, accuracy, sensitivity, and specificity
      - Risk Chart
      - ROC Curve
    - Further learning
    - Summary
  - 8. Visualizations, Data Applications, Dashboards, and Data Storytelling
    - Data visualization in Qlik Sense
      - Visualization toolbox
      - Creating a bar chart
        
        The Data menu
        
        The Sorting menu
        
        The Add-ons menu
        
        The Appearance menu
    - Data analysis, data applications, and dashboards
      - Qlik Sense data analysis
        
        In-memory analysis
        
        Associative experience
      - Data applications and dashboards
        
        The DAR approach
    - Data storytelling with Qlik Sense
      - Creating a new story
    - Further learning
    - Summary
  - 9. Developing a Complete Application
    - Understanding the bike rental problem
    - Exploring the data with Qlik Sense
      - Checking for temporal patterns
      - Visual correlation analysis
    - Creating a Qlik Sense App to control the activity
    - Using Rattle to forecast the demand
      - Correlation Analysis with Rattle
      - Building a model
      - Improving performance
    - Model evaluation
      - Scoring new data
    - Further learning
    - Summary
  - A. Bibliography
- Index

pokaż cały spis treści