Visual analytics with Tableau

A four-color journey through a complete Tableau visualization Tableau is a popular data visualization tool that’s easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visua...

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Detalles Bibliográficos
Otros Autores: Loth, Alexander, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Indianapolis, Indiana : Wiley [2019]
Edición:1st edition
Colección:THEi Wiley ebooks.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630501906719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright
  • About the Author
  • About the Technical Editors
  • Credits
  • Acknowledgments
  • Contents
  • Foreword by Nate Vogel
  • Foreword by Sophie Sparkes
  • Introduction
  • Structure
  • Conventions
  • Companion Website
  • Chapter 1 Introduction and Getting Started with Tableau
  • The Advantages of a Modern Analytics Platform
  • My Personal Tableau Story
  • The Tableau Application Suite
  • Installing Tableau Desktop
  • System Requirements for Tableau Desktop
  • Downloading and Installing Tableau Desktop
  • Registering and Activating Tableau Desktop
  • Data Preparation
  • Crosstab Reports with Wide Tables
  • Preparing Your Data for Analysis
  • Long Tables Suitable for Analysis
  • The Sample Dataset
  • Finding the Dataset
  • Understanding the Data
  • Opening the Excel File Containing the Sample Dataset
  • The Tableau Workspace
  • The Menu Bar
  • The Data Pane
  • Working with Measures and Dimensions
  • Visualizing a First Measure
  • Breaking Down a Measure Based on a Dimension
  • Working with Marks
  • Working with Color
  • Adding More Information to Tooltips
  • Saving, Opening, and Sharing Your Workbooks
  • Saving Workbooks
  • Opening Workbooks
  • Sharing Workbooks with Tableau Reader
  • Chapter 2 Adding Data Sources in Tableau
  • Setting Up a Data Connector
  • Connecting to a File
  • Connecting to a Server
  • Connecting to a Cloud Service
  • Selecting Data Tables
  • Adding a Table to a Data Model
  • Joins
  • Unions
  • Specific Unions (Manual)
  • Wildcard Unions (Automatic)
  • Data Extracts and Live Connections
  • Live Connections
  • Untethered with a Data Extract
  • Data Protection and Data Governance
  • Editing the Model's Metadata
  • Data Types
  • Changing a Field's Data Type
  • Adding Hierarchies, Calculated Fields, and Table Calculations
  • Data Collection
  • Data Collection with IFTTT and Google Sheets.
  • Website Analysis with Google Analytics
  • Checklist for Increasing Performance
  • General Advice for Performance Optimization
  • Performance Optimization with Files and Cloud Services
  • Performance Optimization with Database Servers
  • Chapter 3 Creating Data Visualizations
  • Chart Types
  • Ready, Set, Show Me
  • How Show Me Works
  • Scatter Plots
  • Bar Charts, Legends, Filters, and Hierarchies
  • Bar Charts
  • Hierarchies
  • Filters
  • Line Charts
  • Straight Lines
  • Adjusting the Time Dimension
  • Step Charts
  • Jump Lines
  • Continuous Date Fields
  • Highlight Tables
  • Step 1: Cross Tables
  • Step 2: Add Color
  • Step 3: Change the Mark Type
  • Heatmaps
  • Step 1: Build the Table
  • Step 2: Choose an Interesting Color Palette
  • Step 3: Change the Size of Marks
  • Bullet Charts
  • Step 1: Side-By-Side Bars
  • Step 2: Overlay the Measures
  • Cumulative Sums with Waterfall Charts
  • Step 1: Sorted Bar Chart
  • Step 2: Cumulative Sum and Gantt bars
  • Step 3: Calculate the Step Size
  • Reflection: The Anatomy of a Tableau Visualization
  • Chapter 4 Aggregate Functions, Calculated Fields, and Parameters
  • Aggregate Functions
  • Calculated Fields
  • Aggregations in Calculated Fields
  • Text Operators
  • Splits
  • Shortening Character Strings
  • Converting Between Uppercase and Lowercase
  • Replacing Substrings
  • Date Fields
  • Date Parts
  • Traditional Gregorian and ISO 8601 Calendars
  • Date Calculations
  • Parsing Date Parts
  • Date Format Conversions
  • Logical Functions in Calculated Fields
  • Case Discrimination
  • Case Discrimination with IF-THEN-ELSE Logic
  • Case Discrimination with the IIF Function
  • Working with NULL Values
  • Parameters
  • Creating a Parameter and Displaying the Control Element
  • Parameters in Calculated Fields
  • Searching Text Fields
  • Chapter 5 Table Calculations and Level of Detail Calculations.
  • Different Types of Calculations
  • Order of Processing Steps
  • Quick Table Calculations
  • Setting Up a Quick Table Calculation
  • Duplicate as Crosstab
  • Editing Table Calculations
  • Customized Table Calculations
  • Bump Charts
  • Dual Axis Charts
  • Adjustable Moving Average
  • Level of Detail Expressions
  • Keywords and Syntax
  • Cohort Analysis
  • Regional Averages
  • Higher-Level Regions
  • Chapter 6 Maps
  • Symbol Maps
  • Filled Maps
  • Density Maps
  • Map Layers
  • Maps with Pie Charts
  • Creating a Pie Chart Map
  • Adding a Filter
  • Dual Axis Map
  • Viz in Tooltip
  • Step 1: Create the Second Chart
  • Step 2: Embedding the Chart in Tooltips
  • Reflection: The Anatomy of a Tableau Map
  • Alternative Map Services
  • Mapbox Maps
  • Mapbox Account and Token
  • Mapbox in Tableau
  • Using the Background Map
  • Spatial Data
  • Undersea Communication Cables
  • Open Data
  • Chapter 7 Advanced Analytics: Trends, Forecasts, Clusters, and other Statistical Tools
  • Overview of the Tableau Analytics Pane
  • Constant, Average, and Reference Lines
  • Trend Lines
  • Adding Trend Lines
  • Trend Line Options
  • Line and Trend Model Description
  • Forecasts
  • Adding a Forecast Line to the View
  • Forecast Settings
  • Model Description
  • Cluster Analysis
  • Clustering in Tableau
  • Saving and Working with Clustering Results
  • Python, R, and MATLAB Integration
  • Getting Started with Python and TabPy
  • Connecting Tableau with TabPy
  • Python Scripts in Calculated Fields
  • Trellis Chart with Python Script
  • R Integration
  • Security
  • Example: Local Regression with R
  • MATLAB Integration
  • Chapter 8 Interactive Dashboards
  • Preliminary Considerations
  • Creating a New Dashboard
  • The Dashboard Pane
  • Placing Charts on the Dashboard
  • Dashboard Titles
  • Navigation Buttons
  • Dashboard Actions
  • Filter Actions.
  • Adding and Editing Filter and Highlight Actions
  • Adding Web Content via URL Actions
  • Email Notifications via URL Actions
  • Dashboard Starters: Templates for Cloud Data
  • Dashboard Best Practices and Inspiration
  • Design Tips for Creating a Dashboard
  • Tableau Public: A Gallery of Inspiration
  • Chapter 9 Sharing Insights with Colleagues and the World
  • Preliminary Considerations
  • Tableau Online and Tableau Server
  • Publishing
  • Ask Data
  • Tableau Mobile
  • Tableau Public
  • Publishing to Tableau Public
  • Your Tableau Public Profile
  • Web Embedding
  • Chapter 10 Data Preparation with Tableau Prep
  • Connecting to Data
  • Wildcard Unions
  • Additional Connections
  • Inspecting the Data
  • Removing Unneeded Fields
  • Data Cleaning and Formatting
  • Cleaning Steps and the Profile Pane
  • Calculated Fields
  • Built-in Cleaning Features
  • Renaming Cleaning Steps
  • Unions
  • Joins
  • Splits
  • Grouping
  • Joining
  • Running the Flow and Outputting the Data
  • Saving Flows
  • Index
  • EULA.