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Lindy Ryan - Visual Data Storytelling with Tableau

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Tell Insightful, Actionable Business Stories with Tableau, the Worlds Leading Data Visualization Tool!

Visual Data Storytelling with Tableau brings together knowledge, context, and hands-on skills for telling powerful, actionable data stories with Tableau. This full-color guide shows how to organize data and structure analysis with storytelling in mind, embrace exploration and visual discovery, and articulate findings with rich data, carefully curated visualizations, and skillfully crafted narrative.

You dont need any visualization experience. Each chapter illuminates key aspects of design practice and data visualization, and guides you step-by-step through applying them in Tableau. Through realistic examples and classroom-tested exercises, Professor Lindy Ryan helps you use Tableau to analyze data, visualize it, and help people connect more intuitively and emotionally with it.

Whether youre an analyst, executive, student, instructor, or journalist, you wont just master the tools: youll learn to craft data stories that make an immediate impact--and inspire action.

Learn how to:
Craft more powerful stories by blending data science, genre, and visual design
Ask the right questions upfront to plan data collection and analysis
Build storyboards and choose charts based on your message and audience
Direct audience attention to the points that matter most
Showcase your data stories in high-impact presentations
Integrate Tableau storytelling throughout your business communication
Explore case studies that show what to do--and what not to do
Discover visualization best practices, tricks, and hacks you can use with any tool
Includes coverage up through Tableau 10

Lindy Ryan: author's other books


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Contents
About This E-Book

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Visual Data Storytelling with Tableau

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The author and publisher have taken care in the preparation of this book, but make no expressed or implied warranty of any kind and assume no responsibility for errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of the use of the information or programs contained herein.

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Library of Congress Control Number: 2018932444

2018 Pearson Education, Inc.

All rights reserved. Printed in the United States of America. This publication is protected by copyright, and permission must be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permissions, request forms, and the appropriate contacts within the Pearson Education Global Rights & Permissions Department, please visit www.pearsoned.com/permissions/.

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Microsoft Windows, and Microsoft Office are registered trademarks of the Microsoft Corporation in the U.S.A. and other countries. This book is not sponsored or endorsed by or affiliated with the Microsoft Corporation.

ISBN-13: 978-0-13-471283-3
ISBN-10: 0-13-471283-3

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Contents
FOREWORD

Data visualization is about presenting data in a way to help humans interpret, analyze, learn from it, and most important in a business context, take action on it. More than just objectively showing a result of data discovery or analysis, visualization can point a user in one direction or another based on the data chosen, the techniques used, and the creators focus. This book focuses on the narrative part of data visualization. Its an excellent addition to this series, which has mostly focused on the infrastructure and algorithms of data and analytics. Visual representation is the end result of all that work on the back end, which means this book closes the loop on the overall analytics story. Despite its focus on Tableau as a tool, the concepts and methods discussed throughout are applicable to any data tool, be it Excel, custom visualizations, or other products that give analysts and data scientists the ability to tell a story through data.

Lindy has deep experience in analytics, communication, and data visualization. She led research in visual analytics, among other things, at Radiant Advisors before moving into academia where she now teaches on data analysis, communication, and visualization at both Rutgers University and Montclair State University, as well as actively researches in the field at Rutgers Discovery Informatics Institute. She brings her depth of experience to this book with explorations and analysis of some famous and well-known data visualizations in addition to lessons on choosing different visuals, color palettes, data preparation, charts, and more.

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