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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!
- Sales Rank: #2486 in Books
- Published on: 2015-11-02
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x .60" w x 7.40" l, 1.44 pounds
- Binding: Paperback
- 288 pages
Review
"In Storytelling with Data, Cole has created an of-the-moment complement to the work of data visualization pioneers like Edward Tufte. She's worked at and with some of the most data-driven organizations on the planet as well as some of the most mission-driven, data-free institutions. In both cases, she's helped sharpen their messages, and their thinking."
—Laszlo Bock, SVP of People Operations, Google, Inc. and author of Work Rules!
From the Back Cover
praise for storytelling with data
"Storytelling with Data is a superbly written, masterful display of rare art in the business world. Cole Nussbaumer Knaflic possesses a unique ability—a gift—in telling a story through data. At JPMorgan Chase, she has helped improve our capabilities to explain complicated analysis to executive management and the regulators with whom we work. Cole's book brings her talents together in an easy-to-read guide with excellent examples that anyone can learn from to encourage smarter decision-making."
—Mark R. Hillis, Chief Risk Officer of Mortgage Banking at JPM Chase
"We have so much data that it can be hard to get people to pay attention to our critical findings. Cole Nussbaumer Knaflic taught us valuable lessons in her workshop and it is fantastic to see these expanded upon in Storytelling with Data. My team is already using the lessons Cole teaches to move people to action as they see new pearls of understanding and make a difference in the lives of others. Now others can, too!"
—Eleanor Bell, Director of Business Analytics at Bill & Melinda Gates Foundation
"There is something lovely about being consistent with your own teachings. Cole Nussbaumer Knaflic accomplishes that with her first book. She is an advocate for clarity and concision in visualization, and her book is as clear, concise, and practical as it gets. If you are a beginner in visualization, or if you struggle to produce good charts in your everyday job with tools like Excel, Tableau, Qlik, and the like, this is a great place to start learning the core principles."
—Alberto Cairo, Knight Chair in Visual Journalism and Professor of Visualization at the University of Miami, and author of The Functional Art
"Data slides are not really about the data, they are about the meaning of the data. Cole Nussbaumer Knaflic understands this and has written a straightforward, accessible guide that will help anyone who communicates with data connect more effectively with their audience."
—Nancy Duarte, CEO at Duarte, Inc. and bestselling author
About the Author
Cole Nussbaumer Knaflic tells stories with data. She is the author of Storytelling With Data: A Data Visualization Guide for Business Professionals and writes the popular blog storytellingwithdata.com. Her well-regarded workshops and presentations are highly sought after by data-minded individuals, companies, and philanthropic organizations all over the world.
Her unique talent was honed over the past decade through analytical roles in banking, private equity, and most recently as a manager on the Google People Analytics team. At Google, she used a data-driven approach to inform innovative people programs and management practices, ensuring that Google attracted, developed, and retained great talent and that the organization was best aligned to meet business needs. Cole traveled to Google offices throughout the US and Europe to teach the course she developed on data visualization. She has also acted as an adjunct faculty member at MICA, where she taught Introduction to Information Visualization.
Cole has a BS in Applied Math and an MBA, both from the University of Washington. When she isn't ridding the world of ineffective graphs one pie at a time, she is baking them, traveling, and embarking on adventures with her husband and two young sons in San Francisco.
Most helpful customer reviews
47 of 49 people found the following review helpful.
a worthwhile book that does well what it tries to do
By Nick Cox
People wanting a basic introduction to presentation graphics would be
well served by this book by Cole Nussbaumer Knaflic. Prerequisites are
minimal: there is almost no mathematical content and no use of any but
the most elementary statistical methods. Knaflic's encouraging message
is that MS Excel and PowerPoint can be quite enough software for good
graphics, but you will need to go beyond the defaults and work at the
details.
Almost all the examples are of very small datasets already to hand with
two-way structure. 2 variables for 12 months and 5 products for 7 years
are typical sizes. In practice when analysing data it can be hard work
deciding what methods to use and reducing a mass of raw data to a
concise summary. These steps, sometimes most of a project, are here
assumed already done.
The subtitle flags a focus on "business professionals"; the content
tactfully implies junior people presenting with PowerPoint to
time-challenged bosses at brief meetings. Seemingly few write reports to
be read any more, or use any other presentation software.
Knaflic is excellent on the need to keep things simple. She has a good
eye and sound logic on what looks and works well and what does not.
Examples show how mediocre graphs can be improved by reducing clutter,
killing the key, better use of color, and similar standard tricks.
Horizontal bar charts are usually more readable than vertical, and pie
charts and a false third dimension are best avoided: these points have
been well made many times, yet do deserve forceful repetition. Various
kinds of bar and line charts are her main work-horses.
Sometimes the discussion seems a little contrived, as poor graphs are
set up to be shot down, but that's often what convinces. Readers should
be on the author's side as she encourages us towards effective and
tasteful graphics. Her combinations of blue for data deserving emphasis
and grey for data providing context -- or of blue and orange for groups
to contrast -- are good design patterns for experienced analysts as well
as outright beginners.
The closing chapters are more long-winded and repetitive, but do include
small gems. A splendid case study on avoiding spaghetti graphics (lots
of tangled lines) stands out, and the problem and the ideas deserved
more.
I always find it disappointing when datasets are fabricated or
sufficiently anonymous that they might as well be. People care most
about their own data which an author cannot provide, and confidentiality
constraints often bite, but real data examples are still generally
preferable to fake. Too many examples here are variants on Products A to
E or Features A to O. Unfortunately an outrageous example of a bar
chart from a well-known U.S. television news network (p.50) seems all
too real.
What's not here includes Cleveland dot charts, histograms and box plots
even among the staples of good introductory statistics courses, let
alone (say) use of logarithmic scale, always one of the first graphical
devices for many sciences. So if you want something with more
statistical bite or depth, you need to look elsewhere. Naomi Robbins'
excellent, no nonsense Creating more effective graphs
http://www.amazon.com/Creating-Effective-Graphs-Naomi-Robbins/dp/0985911123
would enable you to go further.
As in any first edition there are some small slips and exaggerated
claims. 40% is not a majority (p.5). There is confusion between number
and percentage on p.39. Any rule that "bar charts must have a zero
baseline" (p.52) is simplistic. It is quite correct that bar charts
should encode departures from some sensible reference level. (The
television network responsible should have paid attention.) But that
reference level could easily be some value not zero, such as parity
between men and women, or the mean of a variable, or 32 degrees
Fahrenheit to separate freezing and non-freezing temperatures. I
disagree that every dollar amount or percent should be labeled as such
(p.90); that is repetitive clutter such as Knaflic rightly deplores. Nor
is it an absolute principle that every axis needs a title. If the axis
labels are 2008 to 2015, no one should need "Year" to explain what is
happening. Far from being "extremely rare" (p.141), several exceptions
to that principle are included in this book!
A note on style: Inside a very useful book is an even more useful
shorter book struggling to get out. For my taste, the motivational
warm-ups and little anecdotes are often too spun-out or too trite. Good
graphics should be presented as illustrations within a good story: a key
point, but not one that required a long chapter with digressions on Red
Riding Hood or on Aristotle on drama, or advice from a junior high
school teacher. A tighter copy-editor would have signalled that
"leverage" (used as a verb about 70 times) was too much of a personal
favorite, while "de-emphasize" for "tone down", "utilize" for "use" and
"incredible" for things all too credible are among several other
repeated tics.
An easy solution is to skip and skim: if a book is on graphics, you can
always just look at the graphics. In this case, Knaflic has written a
worthwhile book that, small details aside, does well what it tries to
do.
21 of 22 people found the following review helpful.
This book shows what "good" data visuals look like, and explains why.
By Ben Jones
I highly recommend this book to anyone who uses charts and graphs to convey a data-driven message to an audience.
Cole shows what clear and well-designed visualizations look like, and explains why they’re effective. She also gives sound advice on practices to avoid in most cases, such as pie charts, 3D views and dual axes. She stops a good exit short of Dogmaville, though, explaining that you should be able to give a good explanation why you’re using a challenging chart type if you decide to go that route.
Well beyond merely choosing chart types, the value of this book is that you will learn how to eliminate clutter, focus attention on what matters, and de-emphasize everything else. The pages are filled with high quality before and after images that bring the subject to full color and show you what “good” looks like.
She doesn’t deal with “How” from a tools perspective – her techniques and principles can be put into practice using pretty much any tool from Excel to Tableau to D3. And she doesn’t talk about “data dashboards” that are characterized by multiple charts and graphs placed side-by-side. The book deals entirely with individual visualizations and how they can be designed, annotated, and shown in sequence to tell a story and build to a coherent conclusion.
I especially enjoyed chapters 7 and 8, where Cole gleans lessons from theater, cinema and fiction and then shows how they can be applied to crafting a story with data, including determining flow and storyboarding.
More here: http://dataremixed.com/2015/11/book-review-storytelling-with-data/
10 of 10 people found the following review helpful.
Clear, concise, useful, and highly recommended!
By brett
Cole takes a difficult subject and makes it understandable. By itself that would be good and worthy of praise. Clarity is always appreciated. But she does this by employing the skills, traits, and tricks that she so clearly explains. Cole implores the reader to eliminate clutter, visually demonstrates why it is important and its potential impact, then strips away at difficult concepts with clear and concise prose again and again. We readily grasp all this because of her use of context, visual display, simplicity, focus, design, and in so doing she tells a story about dealing with data and information, so that we can inform and not confuse. Perfect. But she achieves even more because through the use of these concepts she makes them useful for everyone and not only those dealing with large data sets; she demonstrates that which she illustrates. I'm a trial lawyer. I found her chapters on thinking like a designer and lessons in storytelling to be more than helpful. From the importance of aesthetics, audience, controlling narrative flow, to repetition she provides lessons in telling stories that can benefit anyone. Recommended for everyone!
See all 104 customer reviews...
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