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The Presentation by Andrew Abela

Last night I read Andrew Abela’s recently released e-book The Presentation: A Story About Communicating Successfully With Very Few Slides. Abela is a presentation guru (and friend of Juice) who travels the country fighting the good fight against “Death by PowerPoint.”

His focus is a little different than the Nancy Duarte (Slide:ology) and Garr Reynolds (Presentation Zen) who focus on conveying a message with images and minimal text. While that style has a place for “Ballroom Presentations”, Abela sees a need for a different type of presentation for “Conference room Presentations.”

The wise professor in his story (I prefer to describe myself as an Indiana Jones-style entrepreneur in my narratives), explains the important characteristics of conference room style presentations as the following:

“they have extensive—but always relevant—detail; they are printed, not projected; and every slide must pass the squint test.””

The story also outlines one of his core presentation principles, the SCoRE method, which involves repeating a pattern of Complication, Resolution, and Example. It is a story-telling technique that builds audience buy-in as you go along.

Abela has taken his own advice by persuading his audience using a compelling story filled with complications, resolutions, and examples. I really recommend this entertaining, quick read as a great refresher for the core concepts of his Extreme Presentation method. You can sign-up for Abela’s mailing list and to receive a free copy.

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SEA

We’re back from beautiful Seattle having immersed ourselves in the data visualization party known as the 2010 Tableau Customer Conference. It was a wonderfully planned and executed conference during which we met lots of great Tableau users, exchanged data visualization tips, and learned a bunch about what Tableau is up to in version 6.0 (the most highly anticipated enhancement is no doubt the 100x performance improvement of the data engine.) The folks at Tableau are definitely ramping up for some great things and it was a privilege to be part of it.

As most of you know our core business is about building custom information applications to make information accessible to everyone, not just analysts. But we do so love the work they’re doing over at Tableau and keep a close eye on them. As a result, when they extended an offer for us to speak, we were thrilled.

Following our sessions, I was all excited about the reaction we had gotten from our attendees when one of my coworkers pointed out that I had made a terrible mistake: I neglected to give proper credit to Stephen Few. Part of the content that we covered was about how to effectively position elements in an information display to make it easy for the brain to understand what it’s seeing. To do this we discussed “6 Principles of Visual Context”:

  • Principle of Proximity – Things that are visually close to each other are related
  • Principle of Similarity – Things that look like each other (size, color, shape) are related
  • Principle of Enclosure – Things that are enclosed by a shape are related
  • Principle of Closure – We see incomplete shapes as complete
  • Principle of Continuity – Things that are aligned are related
  • Principle of Connection – Things that are visually connected are related

A great set of guidelines that explain so much about why some things make visual sense and others don’t.

However, in the heat of the moment, I neglected to point out that these principles are based on some very nice work Stephen performed a while back. We’re big fans of his and want to make sure we give credit where credit’s due. So, if you you’re not familiar with these principles, or haven’t reviewed them recently, please check them out. Very powerful stuff.

As far as the conference goes, if you’re a Tableau user, you should plan on attending next year. At about 700 attendees, it was nearly twice as big as the 2009 conference, and if the passion and excitement of Christian Chabbot is any indication, next year will be even bigger and even better.

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So, to recap, we kicked off our Viva Visualization Tour in Atlanta in July to an eager and anxious crowd. In Boston, we were met by heavy downpours (of rain, that is), and some very dedicated data visualization fans who braved the weather, as their drought ended when we arrived in the Boston area. We were glad to be of service–and to bring lots of data visualization know-how with us, as well.

Now, it’s your turn, D.C. September 16th, rain or shine, we’re ready to make an even bigger showing in the Capital city and home to Juice Analytics.

If you’re in the D.C. or surrounding areas, come meet Juice and learn about communicating better with data.

What you’ll have when you leave:

  • visualization best practices training around information layout and workflow, information visualization, chart selection, and styling
  • networking within the D.C. visualization community
  • a full breakfast buffet
  • opportunity to pick the Juice collective for tidbits of vizo-knowledge
  • a few pieces of custom designed Juice schwag

What Juice gets out of this:

  • a much needed visit to one of the country’s greatest cities
  • a chance to meet D.C. folks who love making visual sense of data
  • opportunity to talk about the stuff we’re excited about with people who are actually willing to listen (besides our moms)
  • a big ol’ food bill

So, if this sounds like great fun to you (and who wouldn’t think so), register. We can’t wait to meet you.

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This is the third in our series of topical reviews of the Federal IT Dashboard. As Ken noted in his discussion of Flow, we see this publicly-available dashboard as an opportunity to share some thoughts on ways to evaluate and improve dashboard design, while acknowledging the hard-work and challenges that went into its development.

Today we’d like to take a quick tour of the charts in the Dashboard and ask three questions of each:

  1. Is it the right chart for the data being displayed?
  2. Is the chart designed to communicate effectively?
  3. How would we redesign the chart?

A column chart is used to display the top departments by IT spend.

Federal IT Dashboard column chart

They’ve chosen an appropriate chart for the job, though we often will go with a bar chart over a column chart. Bar charts tend to use space more effectively because the category labels can be wider. Notice how all the Federal Agency labels had to be compressed into an abbreviation (e.g. DOD, DOC, DOT, DOJ), almost requiring a beltway-insider to translate.

One quirky feature is that the y-axis is labeled “($) Billions” but there are no values on the bars (on rollover, a tooltip shows the values with “$B”).

Finally, the chart uses animation when it is first displayed to grow each of the bars from the baseline. This is a useful effect that emphasizes the largest values which keep growing after the others stop. Not as useful: the reflection effect under the chart doesn’t help with comparing column sizes.

Our redesign of the chart would include more explicit labeling and the total IT spending at the top.

Federal IT Dashboard bar chart


Pie charts are used to show the distribution of performance of IT projects.

Federal IT Dashboard pie chart 3

We’ve said a lot of mean things about pie charts over the years. We are not alone. Nevertheless, pie charts can have a legitimate place in presenting data. Here’s how these pie’s fall flat:

  • At their miniature size, the relatively proportions are hard to see.
  • On the summary page, there is no legend or labeling to provide any meaning. I appreciate that green is good and red is bad, but what are the definitions for those colors?
  • As always, a 3d pie chart distorts values by making the “closer” slices seem bigger.
  • Readers will find it difficult to compare across the three pie charts.

An alternative to multiple pie charts in this situation is a stacked bar chart:

Stacked bar chart


Line and area charts are used to display trends in project performance.

Federal IT Dashboard line and area charts

These charts are appropriate and reasonably well executed. Our concerns would be with the design: the labeling isn’t efficient for the limited space, the lines colors aren’t high contrast, and the entire chart feels like it was compressed into too small a space. Here’s our take on it:

Federal IT Dashboard line charts


A treemap is used to show the composition of projects and/or spend based on agency, functions, service groups, etc.

Federal IT Dashboard treemap

Is this the right chart for the job? Most definitely. Treemaps are awesome at displaying hierarchical data that can be summed at each level. It provides a comprehensive view of IT spending composition while allowing you to see changes and drill-down for more detail.

The design of this treemap needs refinement. The developers used the out-of-the-box version of our JuiceKit™ treemap, so we have room for improvements in our default settings. For example:

  • The borders on the boxes are clumsy and distracting. We’ve started to de-emphasize the border with white or light grey.
  • The label names provide very little value as most of them are a truncation of the word Department. A narrower font at normal weight would help. Creating an alternative label that leads with useful information would be better: “Commerce” rather than “Department of Commerce.”

Here’s a treemap demo that feels a lot cleaner from a design perspective:

Airline treemap


All in all, the Fed IT Dashboard does a fine job of choosing appropriate visuals and keeping the chartjunk low. Here are a couple good source to help with these decisions:

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