Here are the various, videos, recordings, transcripts, notes, and slide decks from some of the talks I gave in the first half of 2012. With one exception, all of these are free to view or download.
January 21, ORDcamp Ignite Talk Data Visualizations Done Wrong: live lecture recording. 5:11 (quick and fun)
January 25, Strata presentation preview Design Thinking for Effective Data Visualization: online lecture. 17:15
January 27, UIE Virtual Seminar preview podcast The Power of Data Visualization: audio recording, transcript. 29:50
February 2, UIE Virtual Seminar Telling the Right Story with Data Visualization: online lecture with slides; paid. 90 minutes. (With free preview. 1:08)
February 23, Visual.ly blog guest post Why Is Data Visualization So Hot?
March 16, UIE Virtual Seminar follow up podcast: audio recording, transcript. 30:38
April 2, Where conference interviewed by Julie Steele: video. 11:55
April 3, Where conference keynote When Not to Use Maps, live lecture recording. 11:32 (this one is fun too)
April 4, Linked In Tech Talk Designing Data Visualizations, live lecture recording, with extra conversation about visualization of social networks. 1:49:12
July 12, dotAstronomy conference keynote How to be a Data Visualization Star, with Julie Steele: live lecture audio recording, with still images, slides, and time-coordinated notes twitter responses. 53:05
July 16, European Bioinformatics Institute guest lecture Designing Effective Data Visualizations, handouts, sketchnotes, slide decks (I love the sketchnotes).
Two appearances from the Strata conference in New York this past September.
I gave an Ignite talk called Visualization Done Wrong. This video has too much of me and not enough of my slides.
Alex Howard interviewed me about my new book Designing Data Visualizations and related topics.
I’ll be giving a three hour data visualization workshop at Strata in Santa Clara in February 2012.
I’m thrilled to announce my latest book, Designing Data Visualizations.
The goal of this book is to teach you the process of designing a visualization, presenting the important considerations, and informing the choices that you make. It’s tool-agnostic, and is entirely applicable to visualizations with high and low volumes of data, and to both quantitative and qualitative visualizations.
The origins of my thinking on this topic lie in the work I did on my master’s thesis. This book benefits from an additional five years of experience and research on my part, as well as Julie’s vital insight, knowledge, and contributions.
For this book, we (the authors) are recommending the electronic version over the print version, as that will allow you easy access to updates and revisions as we add more examples and such. Also, the print edition will sadly be only in grayscale, whereas the electronic version will be full-color.
Update: looks like we’ll be providing a full-color download of the images so that people who buy the print edition don’t miss anything.
We’re very excited about this book. We hope you will be too.
I’ll be speaking at Strata NY next week. My main talk is Designing Data Visualizations, on Friday the 23rd at 11:30am.
On Friday at 1pm I’ll be at the O’Reilly booth, signing copies of Beautiful Visualization. Not sure if Designing Data Visualizations will be available in print by then, but if it is, I’ll be signing those too. (You probably want the electronic version of DDV anyway.)
Hope to see you there!
Chapter One: On Beauty, by Noah Iliinsky
This chapter is an examination of what we mean by beauty in the context of visualization, why it’s a worthy goal to pursue, and how to get there. We’ll start with a discussion of the elements of beauty, look at some examples and counterexamples, and then focus on the critical steps to realize a beautiful visualization.
[I use the words visualization and visual interchangeably in this chapter, to refer to all types of structured representation of information. This encompasses graphs, charts, diagrams, maps, storyboards, and less formally structured illustrations.]
What is Beauty?
What do we mean when we say a visual is beautiful? Is it an aesthetic judgment, in the traditional sense of the word? It can be, but when we’re discussing visuals in this context, beauty can be considered to have four key elements, of which aesthetic judgment is only one. For a visual to qualify as beautiful, it must be aesthetically pleasing, yes, but it must also be novel, informative, and efficient.
For a visual to truly be beautiful, it must go beyond merely being a conduit for information and offer some novelty: a fresh look at the data or a format that gives readers a spark of excitement and results in a new level of understanding. Well-understood formats (e.g., scatterplots) may be accessible and effective, but for the most part they no longer have the ability to surprise or delight us. Most often, designs that delight us do so not because they were designed to be novel, but because they were designed to be effective; their novelty is a byproduct of effectively revealing some new insight about the world. keep reading…
Beautiful Visualization, published by O’Reilly Media, is their deal of the day today. Get the ebook version for just $9.99 with the discount code DDVSZ.
The print edition should be available by the end of June.
I’m very excited to announce that I’m technical editor for, and contributing a chapter to, the book Beautiful Visualization, due out in April from O’Reilly.
It is a collection of case studies and articles discussing how various beautiful information visualizations were achieved and how to create your own.
Stay tuned for updates as events warrant.