Storytelling with Data E-Book

Cole Nussbaumer Knaflic

• Herausgeber: John Wiley & Sons
• Kategorie: Wissenschaft und neue Technologien
• Sprache: Englisch

Seitenzahl: 287

Veröffentlichungsjahr: 2015

Beschreibung

Don't simply show your data—tell a story with it!

Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.

Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:

• Understand the importance of context and audience
• Determine the appropriate type of graph for your situation
• Recognize and eliminate the clutter clouding your information
• Direct your audience's attention to the most important parts of your data
• Think like a designer and utilize concepts of design in data visualization
• Leverage the power of storytelling to help your message resonate with your audience

Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

Leseprobe

storytelling with data

a data visualization guidefor business professionals

cole nussbaumer knaflic

Cover image: Cole Nussbaumer Knaflic Cover design: Wiley

Copyright © 2015 by Cole Nussbaumer Knaflic. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

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Library of Congress Cataloging-in-Publication Data:

ISBN 9781119002253 (Paperback) ISBN 9781119002260 (ePDF) ISBN 9781119002062 (ePub)

To Randolph

Contents

Foreword

Note

Acknowledgments

About the Author

Introduction

Bad graphs are everywhere

We aren’t naturally good at storytelling with data

Who this book is written for

How I learned to tell stories with data

How you’ll learn to tell stories with data: 6 lessons

Illustrative examples span many industries

Lessons are not tool specific

How this book is organized

Chapter 1 the importance of context

Exploratory vs. explanatory analysis

Who, what, and how

Who

What

How

Who, what, and how: illustrated by example

Consulting for context: questions to ask

The 3-minute story & Big Idea

Storyboarding

In closing

Chapter 2 choosing an effective visual

Simple text

Tables

Graphs

Points

Lines

Bars

Area

Other types of graphs

To be avoided

In closing

Chapter 3 clutter is your enemy!

Cognitive load

Clutter

Gestalt principles of visual perception

Lack of visual order

Non-strategic use of contrast

Decluttering: step-by-step

In closing

Chapter 4 focus your audience’s attention

You see with your brain

A brief lesson on memory

Preattentive attributes signal where to look

Size

Color

Position on page

In closing

Chapter 5 think like a designer

Affordances

Accessibility

Aesthetics

Acceptance

In closing

Chapter 6 dissecting model visuals

Model visual #1: line graph

Model visual #2: annotated line graph with forecast

Model visual #3: 100% stacked bars

Model visual #4: leveraging positive and negative stacked bars

Model visual #5: horizontal stacked bars

In closing

Chapter 7 lessons in storytelling

The magic of story

Constructing the story

The narrative structure

The power of repetition

Tactics to help ensure that your story is clear

In closing

Chapter 8 pulling it all together

Lesson 1: understand the context

Lesson 2: choose an appropriate display

Lesson 3: eliminate clutter

Lesson 4: draw attention where you want your audience to focus

Lesson 5: think like a designer

Lesson 6: tell a story

In closing

Chapter 9 case studies

CASE STUDY 1: Color considerations with a dark background

CASE STUDY 2: Leveraging animation in the visuals you present

CASE STUDY 3: Logic in order

CASE STUDY 4: Strategies for avoiding the spaghetti graph

CASE STUDY 5: Alternatives to pies

In closing

Chapter 10 final thoughts

Where to go from here

Building storytelling with data competency in your team or organization

Recap: a quick look at all we’ve learned

In closing

Bibliography

Index

EULA

List of Illustrations

Introduction

FIGURE 0.1

A sampling of ineffective graphs

FIGURE 0.2

Example 1 (before): showing data

FIGURE 0.3

Example 1 (after): storytelling with data

FIGURE 0.4

Example 2 (before): showing data

FIGURE 0.5

Example 2 (after): storytelling with data

FIGURE 0.6

Example 3 (before): showing data

FIGURE 0.7

Example 3 (after): storytelling with data