preface
Structure and features of this book

PART 01: First Steps to Data Visualization with Tableau

CHAPTER 01 What is data visualization?
01 Concept of data visualization
02 The necessity and role of data visualization
03 Data Visualization Strategy

CHAPTER 02 What kind of tool is Tableau?
04 Understanding the Tableau product line
05 Installing Tableau Desktop
06 Introduction to the Tableau Interface
07 Tableau vs.
Excel

PART 02 Data Visualization and Chart Drawing with Tableau

CHAPTER 03 Data Visualization Basic Charts: Just Drawing Them (1)
08 How to place fields on a sheet
09 Data Visualization Basic Chart #1 - Bar Chart
Using the 10 Mark Card
11 Data Visualization Basic Charts #2 - Line Charts
12 line chart vs.
Area chart
13 Data Visualization Basics Chart #3 - Pie Chart
14 Pie charts are not a good way to visualize data?
Practice problems

CHAPTER 04 Data Visualization Basic Charts: Just Drawing Them (2)
15 Charts that visualize correlations, scatter plots
16 Using Trendlines
17 Charts to Visualize Distributions #1 - Box Plots
Chart #2: Visualizing Distributions - Histograms
19 An intuitive way to represent tables, highlight tables
Practice problems

CHAPTER 05: Keys to Understanding Tableau: Focusing on Key Concepts
20 Tableau Core Concepts #1 - Dimensions and Measures
21 Tableau Core Concepts #2 - Continuous and Discrete
22 Tableau Core Concepts #3 - Level of Detail
23 Tableau's Four Calculation Methods

CHAPTER 06: Reviewing Basic Data Visualization Charts

PART 03 Visual Data Analysis with Tableau

CHAPTER 07: The First Step Toward Your Visualization Goal: Pasting Data
24 Working with data combinations on Tableau Desktop?
25 The process of joining vertically, union
26 Horizontally Bulky Combination Process - Join, Relationship, Blending

CHAPTER 08 Using Filters to Take a Closer Look
27 Basic Understanding of Filters
28 Why are filters so important in Tableau?
29 Extraction filters that adjust the scope of the extracted data
30 Data source filters that adjust the scope of the analysis data
31 Most Used Dimension Filters in Data Exploration
32 Measurement filters with different meanings depending on how they are applied
33 Filters that change the priority of operations #1 - Context filters
34 Filters that change the priority of operations #2 - Table calculation filters and hiding
Practice problems

CHAPTER 09 Creating a Comparative Context Using Dual Axes
35 Definition of dual axis, two axes
36 The most important meaning of the dual axis, creating a comparative context
37 Additional uses of the dual axis, adding design elements
38 Dual Axis vs.
coupling axis
39 Donut Chart Practice Problems That Make Exquisite Use of Dual Axes

CHAPTER 10: Enhancing Data Visualization with Analysis Panels
Introducing the 40 Analysis Panel
41 Auxiliary lines that clearly reveal the meaning of the data
Analysis functions utilizing 42 algorithms
Practice problems

CHAPTER 11 Map Visualization Revealing Spatial Context
43 Tableau and Map Visualization
44 Map Visualization, a Double-Edged Sword
45 Map visualization showing geographic boundaries
46 Map visualizations that pinpoint exact locations
Practice problems

CHAPTER 12: Revisiting Data Visualization

PART 04: A Comprehensive Information Dashboard Completed with Tableau

CHAPTER 13 A Dashboard is More Than Just a Combination of Sheets
47 Dashboard Components - Sheets, Objects, and Actions
48 Dashboard Content Composition: Follow the 5W1H Principle
49 Preparing Charts for Dashboard Practice
50 Dashboard Interface
51 How to Configure Your Dashboard - Tile vs.
immobility
Build a dashboard using 52 sheets, objects, and actions.
53 Stories of Using Tableau Like PowerPoint

CHAPTER 14: A Look Back at the Dashboard

CHAPTER 15 Beyond Basic Charts to a Broader Area of ​​Visualization
When bar charts get boring, consider a variation.
55 Other ways to express changes in date and time
56 Different Uses of Gantt Charts