Visual analytics with Tableau / Alexander Loth.

Format:

Book

Author/Creator:

Loth, Alexander, author.

Series:

THEi Wiley ebooks.

THEi Wiley ebooks

Language:

English

Subjects (All):

Tableau (Computer file).

Physical Description:

1 online resource (287 pages) : illustrations

Edition:

1st edition

Place of Publication:

Indianapolis, Indiana : Wiley, [2019]

System Details:

Access using campus network via VPN at home (THEi Users Only).

text file

Summary:

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 visually for easy understanding, it’s no surprise that Tableau is an essential tool in our data-driven economy. Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards. • Learn the different types of charts you can create • Use aggregation, calculated fields, and parameters • Create insightful maps • Share interactive dashboards Geared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away.

Contents:

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

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

Built-in Cleaning Features

Renaming Cleaning Steps

Grouping

Joining

Running the Flow and Outputting the Data

Saving Flows

Index

EULA.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781523128594

1523128593

9781119561996

111956199X

9781119560227

1119560225

9781119562030

1119562031

OCLC:

1096435960