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Practical Analytics for Better Decisions

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Joyful circle charts or informative bar charts? Best practices in visual analytics

Small_packed_bubble_chartStephen Few, noted visual analytics expert and the original inspiration for our work in the field, recently wrote about criticisms of best data visualizations practices by people who should know better. In particular, Amanda Cox of the New York Times said, “There’s a strand of the data viz world that argues that everything could be a bar chart. That’s possibly true but also possibly a world without joy.” And Nathan Yau of Flowing Data wrote, “in visualization you eventually learn that there’s more to the process than efficient graphical perception and avoidance of all things round. Design matters, no doubt, but your understanding of the data matters much more.” These are both people who have a body of work that I admire but I am also surprised at these comments.

This discussion reminds me of a similar problem in marketing and web analytics. Generating traffic that leads to sales is good. Eventually, someone finds a way to generate traffic that leads to not many new sales, but management is misled to think this must be good since traffic leads to sales. This is similar to “look, this chart is beautiful“, but hard to interpret or understand. So, while we delivered fun graphs, minimal information is shared. This may be good for traffic, but not so much for higher sales.

I suspect that part of this recent criticism can be traced back to Stephen’s recent criticism of Tableau, “Tableau Veers from the Path“. In it, he mentions a new graph type in Tableau, packed bubble charts and contrasts them with bar charts. This is an example of the “avoidance of all things circular”. Is Stephen truly anti-joy? Will an example show him to be wrong? Let’s give it a try and you can judge for yourself.

Here’s a packed bubble chart example

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Data Driven Conference 2012 and our special discount for attendees

We are having a great time at the Data Driven Conference in Columbus! Our first session was standing room only and we are presenting the same talk a second time at 1:30 in E161.

Interesting questions include “how do you become better at asking the right questions that lead to better analysis” and “how do you communicate with IT to get better data”?

To buy The Accidental Analyst directly from us at the special attendee discount, please visit www.AccidentalAnalyst.com/ddc and place your order before this Thursday.

Here is our infographic that we created

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Bringing clarity out of an infographic, “Income Inequality in the US” from Mother Jones

A colleague shared this Mother Jones infographic, which attempts to explain the disparity in income between richer and poorer families in the US.  The data is indeed fascinating, but quite difficult to read in their flashy infographic.

There are two major issues that hinder understanding when viewing this infographic:

1) Using areas of circles to encode the incomes is very difficult for most people to interpret.  Additionally, with the difference in income being so large, it is nearly impossible to fit this on a normally sized web page.  The largest group, the yellow circle, is mostly cut off in their infographic.

2) The infographic is overloaded

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Top Freakalytics articles of 2011

#5 Examining data over time (7 ways with Netflix stock prices)

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#4 Bullet charts & enhancements: making Stephen Few’s invention even better

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US Federal Government Debt- Which Presidents have managed it best since 1970?

We just launched a new website to share analysis of this critical topic at http://www.usdeficitstats.com/.
 
 
 
 
 
 
 

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Dashboards podcast for journalists- ideas & examples with Journalytics

Episode Overview: Hosted by Journalytics, we discuss the utilities and pleasantries of Data Visualization and Dashboards. During our conversation we discuss several specific examples of dashboards in the news. Click here to listen.

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Quick dashboard enhancements in Tableau, compact dashboards

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Tableau Tips: displaying growth rates in maps

A recent training attendee asked how to show year over year growth in a map. In particular, they wanted to use the Year over Year growth selection from the Quick Table Calculation menu. This simple dashboard

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