I’ve created a lot of content based on my Four Pillars of Visualization design principles. The Four Pillars are:
- Purpose (the why)
- Content (the what)
- Structure (the how)
- Formatting (everything else)
Here are the resources. I’ll update this page as new material comes online. Everything is free, but you have to register to get to some of the content.
- A five-part webcast series on good visualization design, based on the Four Pillars. Sign up to view the recordings, or watch them on this youtube channel, and download PDFs of the slide decks.
- Concise blog posts discussing the Four Pillars. The depth here is roughly equivalent to what I cover in the standard Four Pillars lecture (as seen above).
Updated update: I’m no longer with IBM, and have taken a job in Settle with AWS.
Hello dear readers,
Just a quick note here to mention my new FT gig; I’m now working as a Visualization Expert at IBM’s Center for Advanced Visualization. Part of my role involves continuing to speak at conferences and events as I have been, and various other writing projects. Additionally, I’ll be working on a book for IBM (details TBD), writing some visualization white papers, blog posts, and other materials related to IBM’s visualization projects, and working with the fantastic teams who are devloping IBM’s public visualization tool Many Eyes and their new (unreleased) visualization engine RAVE.
I’m delighted by this new role. As I’ve been ramping up at IBM I haven’t been publishing as much externally, but will be posting links to my writing and presentations here and on twitter (@noahi) as they become available.
UPDATE: Yes, I’m staying in Seattle.
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).
Here’s my table of properties and best uses of visual encodings. Feel free to download the PDF.
Update September 25, 2013: I wrote a whitepaper for IBM that explains the use of the table. (Free; quick registration required, sorry about that.)
Please note that I’m not the first person to create a table like this, this just happens to be my take on it. I got my first glimpse at this sort of table in Jock Mackinlay‘s PhD thesis from 1986.
A really nice table comparing inclusion of visual properties/attributes in tables has been put together by Richard Brath.