TY  - BOOK
AU  - Sringeswara, Sharada
AU  - Tiwari, Purvi
AU  - Dinesh, Kumar, U.
TI  - Data visualization: : storytelling using data
SN  - 9789354643132
U1  - 001.4226 
PY  - 2022///
CY  - New Delhi
PB  - Wiley India Pvt. Ltd.
KW  - Information visualization
KW  - Business communication
N1  - Table of contents

Preface 

About the Authors 

Acknowledgement 

 

Chapter 1 Introduction to Visualization

1.1 What Is Data Visualization? 

1.2 Why Do We Have to Visualize Data? 

1.3 How Do We Visualize? 

1.4 Seven Stages of Visualizing Data  

1.5 Usage of Visualization 

1.6 Types of Charts 

1.7 Common Chart Selection Questions  

 

Chapter 2 Visualization Best Practices

2.1 Importance of Data Visualization 

2.2 Data Types

2.3 Effectiveness of Visual Encodings 

2.4 Color 

2.5 Edward Tufte’s Design Principles 

2.6 Can Chart Junk be Useful? 

 

Chapter 3 Visualization of Structured Data

3.1 Introduction 

3.2 Exploratory Analysis 

3.3 Modelling 

3.4 Visualization during Deployment 

3.5 Business Operation Dashboard 

 

Chapter 4 Visualization of Unstructured Data

4.1 Introduction 

4.2 Importance of Text Data Visualization 

4.3 Challenges of Text Data Visualization 

4.4 Various Forms of Text Data

4.5 Text Data Pre-processing Pipeline

4.6 Visualizing Text Data 

4.7 Visualizing Conversations 

 

Chapter 5 Visual Storytelling

5.1 Introduction  

5.2 Why Storytelling Matters 

5.3 Science behind Storytelling 

5.4 Presentation Types

5.5 Death by Presentation 

 

Chapter 6 Storytelling Framework

6.1 Introduction

6.2 Importance of Business Storytelling 

6.3 Storytelling Frameworks 

6.4 Data Storytelling 

6.5 Narrative Types 

6.6 Dimensions of Narrative Storytelling 

6.7 Data Story Types 

6.8 Analytics Dashboard 

 

Chapter 7 Misleading with Charts

7.1 Introduction  

7.2 Pre-attentive Processing of Visual Attributes 

7.3 Types of Misleading Charts 

7.4 More Examples of Misleading Visualization 

 

Summary 

Key Terms

Assignment Material 

References


N2  - Data Visualization: Storytelling Using Data explains data insights through visuals and show how to make them compelling and comprehensible through a series of realworld examples. It provides a roadmap that covers everything from understanding “why data visualization and storytelling are important” to learning “how to visualize data and communicate it to an audience effectively”. This book attempts to provide students and industry professionals with a practical method for mastering data storytelling skills
ER  -