Camm/Cochran/Fry/Ohlmann's DATA VISUALIZATION: EXPLORING AND EXPLAINING WITH DATA, 2nd Edition, is designed to introduce best practices in data visualization to undergraduate and graduate students. This is one of the first books on data visualization designed for college courses. The book contains material on effective design, choice of chart type, effective use of color, how to both explore data visually and how to explain concepts and results visually in a compelling way with data. The book explains both the "why" of data visualization and the "how." That is, the book provides lucid explanations of the guiding principles of data visualization through the use of interesting examples.

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Information

Publisher

Cengage Learning EMEA

Year

2024

eBook ISBN

9780357929841

Edition

Topic

Computer Science

Subtopic

Data Mining

Index

Computer Science

Cover
Brief Contents
Contents
About the Authors
Preface
Chapter 1: Introduction
Chapter 2: Selecting a Chart Type
Chapter 3: Data Visualization and Design
Chapter 4: Purposeful Use of Color
Chapter 5: Visualizing Variability
Chapter 6: Exploring Data Visually
Chapter 7: Explaining Visually to Influence with Data
Chapter 8: Data Dashboards
Chapter 9: Telling the Truth with Data Visualization
Multi-chapter Cases
Appendix Data Wrangling: Preparing Data for Visualization
References
Index

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Yes, you can access Data Visualization by Jeffrey Camm, James Cochran, Michael Fry, Jeffrey Ohlmann in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

About this book

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Table of contents

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