S. Few Renounces Dual-Axis Graphs; Juice Ups Ante

After deep introspection, Stephen Few has determined that graphs with dual-scaled axes are fundamentally flawed. Rather than risk the potential for confusion, he believes that there are superior graphing approaches for situations where related data series have different units or magnitudes. His measured and thorough analysis concludes:

“It is inappropriate to use more than one quantitative scale on a single axis, because, to some degree, this encourages people to compare magnitudes of values between them, but this is meaningless.”

I commend Stephen for the courage to start down this path, but he hasn’t gone far enough. Here at Juice, we must often take controversial positions. You may remember that we were among the first to criticize Microsoft’s “databars”, the first to take on the powerful Dashboard Gauge lobby, and the first to challenge the applicability of Tom Davenport’s “Competing on Analytics” sales machine.

While it is true that the second axis can be deceptive, let’s not let the first axis off without asking some tough questions. It is the confusion—nay, the collusion—of the two that causes trouble—who is to say which is the bad seed? We must ask ourselves, do not axes belong in the “Axis of Evil”?

The problem is broader than Stephen suggests: axes are just the tip of the iceberg when it comes to graphic bling that potentially distract or confuse readers:

Take data labels, for example. They encourage users to consider specific values rather than focusing on relative sizes or placement of graph lines or bars.

Legends draw the reader’s eye away from the central storyline of a graphic.

Gridlines… please don’t waste my time with these flat faux-series. One wouldn’t put pinstripping on a Ferrari.

Place your graph in proper context and titles become redundant.

Minimalism is in. Extraneous graph decoration is out. Look no further than Tufte’s sparkline: no excessive graph decoration there.

sparkline

The world cries out for a new charting aesthetic. One that champions elegance and casts down gaudiness. Let us evoke the pure visual essence of the data. Let us find a pure form to evoke the emotion and hidden meaning of the data. Now is the time for Naked graphs—stripped to the essentials (TM).

Our argument is simple: the visualization of information is the message. The data is but an intermediary form of that visualization. Therefore, any residue from the raw data should be scrubbed from your final graph. Only when you achieve this unadulterated state will the meaning of the graphic burn its way into your consciousness.

Here’s an example of an analysis that casts light on both the relationship of the Fed to hedge funds while simultaneously answering your question about what happened with last month’s sales in the Newark division.

naked analysis

Truly here we see the words of Mark 9:43 made real:

If your hand causes you to stumble, cut it off; it is better for you to enter life crippled, than, having your two hands, to go into hell, into the unquenchable fire.

Gaze in awe, viewers, and find wisdom on this very foolish day.

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License. All source code is released under a BSD License unless otherwise specified.

8 comments | Show all comments only the last 5 are shown


April 12, 2008
Jeff said:

A S. Few article reference, the ever gratuitous Tufte mention AND a verse from the bible - all in one article, talk about data density...


April 12, 2008
dave said:

I generally agree with your philosophy of minimizing "chart junk" but I think you may be going to the extreme here.

Most consumers of chart information are not analytics professionals and need help to interpret.

- Data labels: my users demand them. They want to know the value. I don’t think they have a negative impact on “… than focusing on relative sizes or placement of graph lines or bars”

- Legends: are you kidding? Really?

- Gridlines: absolutely necessary for bar charts. I won’t speak for you, but gridlines help my brain orient the chart information.

- Titles: Chart titles and axis labels are necessary and not at all distracting.

Is there not a comfy middle ground here?

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April 12, 2008
derek said:

Dave, check the date that article was posted :-)


April 13, 2008
dave said:

I'm a moron...

thanks derek!


April 18, 2008
tao said:

The root of the problem with visualization is that you are using an organ that is simply not meant to understand so much. The only solution to fully understanding data is to not visualize at all but use a direct neural implant into the brain that allows you to quickly grasp all aspects of the data. All this visualization and introspection about visualization is just trying to improve the horse buggy when the automobiles are coming.

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The Colbert Bump is Real, Colbert’s Nation Not What He Thinks it is

Stephen Colbert has mentioned that he’s having trouble getting guests during the writer’s stike. We find this puzzling, given the supposed benefits of the Colbert Bump. Does being on the Colbert Show really provide a bump—a critical leap that vaults a writer, or a politician to superstardom?

We know that Colbert isn’t a big fan of “facts,” and only needs his gut to tell him the Colbert Bump is real. At Juice, we let the data decide what’s real or not, so our apologies to Stephen for not taking his word for it. Intrigued, Juice Analytics set out to find out the truth. We gathered data about Amazon sales rank for 20 authors that appeared on his show in recent months. How did those ranks change in the days immediately before and after the authors’ appearance on the show?

Amazon Sales Rank of Colbert Guests

Hmmm, there might be something there but those sales ranks don’t tell us much. Fortunately for Stephen, some “eggheads” have worked out roughly how Amazon sales rank corresponds to actual book sales. We calculated the sales, and normalized the data so that the week prior to appearing on the Colbert Report was equal to 1.0. Here’s a picture.

Projected Sales of Colbert Guests

That looks like a bump, Conan. In fact, being on the Colbert Report increases sales by 10 times on average. That bump doesn't last forever, but, let's face it, what does?

We also wanted to know, what kinds of books are Colbert’s audience going crazy for? After all, Colbert is well known as a rock-solid conservative. He’s tight with the Bush Administration. Even though he debates a few liberal (“pinko”) authors now and then, most of his guests are writers of pop-intellectual studies of the Gladwellian persuasion.

Here are the authors and how we categorized them:

Pinkos: Jessica Valenti, Full Frontal Feminism: A Young Woman’s Guide to Why Feminism Matters, Wesley K. Clark, A Time to Lead: For Duty, Honor and Country, Robert Shrum, No Excuses: Concessions of a Serial Campaigner

‘Publicans: Tom DeLay, No Retreat, No Surrender: One American’s Fight

Pop Essayists: Daniel Gilbert, Stumbling on Happiness, Daniel B. Smith, Muses, Madmen, and Prophets: Rethinking the History, Science, and Meaning of Auditory Hallucination, Michael Gershon, The Second Brain: A Groundbreaking New Understanding of Nervous Disorders of the Stomach and Intestine, John J. Mearsheimer, The Israel Lobby and U.S. Foreign Policy, Thomas L. Friedman, The World Is Flat: A Brief History of the Twenty-first Century, Frank J. Sulloway, Born to Rebel: Birth Order, Family Dynamics, and Creative Lives, Jared Diamond, Guns, Germs, and Steel: The Fates of Human Societies, Nassim Nicholas Taleb, The Black Swan: The Impact of the Highly Improbable, Richard Preston, The Wild Trees: A Story of Passion and Daring, Malcolm Gladwell, Blink: The Power of Thinking Without Thinking, Bjorn Lomberg, Cool It: The Skeptical Environmentalist’s Guide to Global Warming, Andrew Keen, The Cult of the Amateur: How Today’s Internet is Killing Our Culture, Michael Wallis, The Lincoln Highway: Coast to Coast from Times Square to the Golden Gate

Popular: Stephen Colbert, I Am America (And So Can You!), John Grisham, Playing For Pizza: A Novel, Tina Brown, The Diana Chronicles

How much of a bump did each of these groups receive?

Colbert Bump by Category of Guests

It’s a shock! Liberals and high-minded eggheads do better than popular or conservative books. I’m not sure if Colbert knows this, but his audience isn’t who he thinks they are.

Here are all the authors and their normalized sales around the time of their appearance on the Colbert Report.

Valenti Clark Shrum DeLay Gilbert Smith Gershon Mearsheimer Friedman Sulloway Diamond Taleb Preston Gladwell Lomberg Keen Wallis Colbert Grisham Brown

This post was a collaborative effort of the entire Juice team. Pete Skomoroch concocted the idea, wrote copy, and found the study linking Amazon Sales Rank to actual sales. Zach data mined. David May whipped up elegant, instant visualizations. Sal Uryasev munged data.

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License. All source code is released under a BSD License unless otherwise specified.

25 comments | Show all comments only the last 5 are shown


April 23, 2008
Adele said:

ahhso.
guilty as charged, haha.


April 24, 2008
jeff said:

since many of these authors appear on colbert the same week/day that they appear on other shows (often/usually as part of a promotional tour for the book/product they're schilling), can this bump truly be ascribed to colbert and his nation?


April 28, 2008
mike said:

thats a good question, correlation does not necessarily mean causation :)


April 28, 2008
mike said:

oops already mentioned, perhaps the suggestion of a control group would be best, comparing a media blitz without Colbert Report to those that appear on the show. it would be difficult to separate out the other factors though, like maybe someone that chooses to go on the CR is also more effective in their other promotions. possibly if there were enough data points, then other effects would be insignificant?? ;)
or maybe find someone that ONLY goes on the Colbert Report, a clean sample sort of :D


May 30, 2008
Aaron Deyfer said:

great article!
one question: how did you manage to get the historical sales rank data? Did you gather the data "manually" using AWS over time or do you use another service?

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Analytics Roundup: TIps for showing, sharing, communicating

Developer's Guide - Google Chart API - Google Code
Beautiful stuff, particularly the Venn diagram.

Align Journal - BI Worst Practices
We often see articles on BI "Best Practices" here is an article telling us what NOT to do.

flot - Google Code
Attractive Javascript plotting for jQuery.

ongoing · On Communication
Interesting blog post about how different forms of communication rank for immediacy, lifespan, and audience reached.

The Excel Magician: 70+ Excel Tips and Shortcuts to help you make Excel Magic : Codswallop

SlideShare
Source for presentation ideas.

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Introducing Chart Chooser

Find and Download Great-Looking Excel and PowerPoint Charts

Chart Chooser is an online tool that answers two questions we commonly get:

  1. What type of chart should I use to show my data?
  2. How can I make good looking Excel or PowerPoint charts?


Chart Chooser


Chart Chooser is easy:

  1. Check the boxes on the left that best describe your objective
  2. Select the chart that you want to use
  3. Choose from Excel or PowerPoint downloads to get a formatted chart template

A few notes about Chart Chooser:

  • Thanks to Andrew Abela of Extreme Presentations for inspiring Chart Chooser with his “Choosing a Good Chart” post and for working with us to put this tool together.
  • We’ve tried to make the charts both Tufte-compliant (i.e. minimal chart-junk) and visually attractive (thanks to Google for the color scheme).
  • Feel free to suggest other types of charts that you’d like to see in the Chart Chooser. Send an example to chartchooser@juiceanalytics.com.
  • If you’d like a customized version of Chart Chooser for your organization, write us at chartchooser@juiceanalytics.com or call me at 202.251.7750.
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License. All source code is released under a BSD License unless otherwise specified.

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November 27, 2007
Kelly O'Day said:

This is my 3rd and hopefully final try at getting the link to work.

http://processtrends.com/toc_chart_doctor.htm


December 20, 2007
Stef said:

Hey there, the website is still not visible from Switzerland! Gush....


February 27, 2008
Mike said:

Hi guys!

This is fu&%$ awesome! Thank you very much for this!


February 27, 2008
Tom said:

I love your site and have used several graphs to make myself 'look good' at work. Thanks.
I want to use the Waterfall chart but for the life of me I can not figure out how you remove/hide the color fill from the data points after the first one and leave it in for this one.

Thanks.


April 12, 2008
Priya said:

Hey thanks for this useful site... I was wondering if there is a write up for different type of charts displayed here, as in what type of data or steps / FAQs etc.

If I am missing something here, let me know

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Recreating the NY Times Cancer Graph

This New York Times cancer graph is a beautiful piece of work.

NY Times cancer graphic

I wanted to see if we could reproduce it with everyday tools.

Excel reproduction of the NY Times cancer graphic

Click here to watch a screencast showing how it was done. Warning the screencast is a little long—14 minutes—and a little unpolished. One cut, no retakes, banzai analytics!

Derek raised an interesting question about how to find the fonts used by the New York Times. While I don't think you can find a high quality free version of these fonts (Helvetica Neue, Univers?), Microsoft has made some very good new fonts for Vista and these are also available to Microsoft Office users through a compatibility pack. Here's a link or google for "microsoft office compatibility pack". I recommend using these fonts.

Here's a version of the graph with these new fonts and more emphasis on getting the typography right.

Excel reproduction of the NY Times cancer graphic with better fonts

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License. All source code is released under a BSD License unless otherwise specified.

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