The relationship between information and confusion

Jessica Hagy tackles the complex relationship between the amount of information we have and the level of confusion we experience: Yup, looks about right.  Of course, as Nate points out, there are ways to widen the valley.  But I’ll leave that for another post.

“Science these days has basically turned into a data-management problem”

So says Professor Jimmy Lin at the University of Maryland in a recent NYT Technology article about the shortfall in “Big Data-competent” university students.  The article points out that the kind of data we are now dealing with (which will only continue to increase exponentially) requires a different perspective and experience than most currently have.  [...]

Relational Odds Done Right

In keeping with my theme on the importance of presenting data in a relational format, David McCandless at Information is Beautiful provides an excellent infographic which puts the risks of taking the HPV vaccine into proper context (based on actual data):

Measuring Happiness via the Social Web

Nathan at FlowingData points to an application on Facebook that aims to measures happiness.   The application seeks to calculate the “Gross National Happiness” (GNH) of the United States by analyzing the ratio of positive to negative words found in users’ status updates on a daily basis. It is an interesting project and certainly relates to [...]

Visualizing the ‘Evolution’ of Darwin’s Dangerous Idea

Via FlowingData, a great visualization by Ben Fry.  Fry looks at how The Origin of Species changed from the first edition to the sixth edition, noting which passages were added, removed, edited, etc.  You can watch the text change by edition as well as scroll over each section to see the actual text by edition. [...]

More on Visualization

Nathan at the always excellent FlowingData provides a great guide on what tools are available for getting started with data visualization.  He categorizes each tool by the purpose of the visualization (e.g. publication, presentation, analysis, etc.), provides their pros and cons, as well as which tools are currently free. So far I have only used [...]

Information Visualization Manifesto

I wanted to draw your attention to a recent post by Manuel Lima at Visual Complexity, a great blog and website about data visualization.  Lima discusses the state of visualization and provides his manifesto for what he sees as the proper requirements of  Information Visualization vs Information Art. His rules: Form Follows Function Start with [...]

Linkage

Substantive blogging will be brisk this week until I finish drafting an article I am working on and get it off to my co-author. The danger of tiny samples: “The failure to understand that events occur randomly is a failure to understand causality”.  Couldn’t have said it better myself. IBM’s Predictive Ideas Market: IBM is [...]

Post hoc ergo propter hoc

I am usually a fan of Charles Blow’s work, but his latest op-ed seems to me a bit sloppy. Blow claims that one reason Democrats, and President Obama in particular, may be having trouble convincing the country to sign on to large-scale health care reform is due to the public’s overall lack of trust in [...]

Visualizing my Social Network

I’ve been getting more interested in data visualization lately (as you might have picked up by some of my recent posts). I do not have the technical skills required for really insightful, visually impressive work at this point. Thankfully, Nate at FlowingData pointed me in the direction of IBM’s Many Eyes project, which allows you [...]

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