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This video for me was very Ironic.  Data visualization at its most basic form is the process by which we shine light onto our data so that people can easily understand its conclusions.  Data visualization, while often convoluted, is designed such that the data can actually speak for itself. Just as the way that a picture is worth a 1000 words, I believe that a great graph is the most effective way to understand data.  With this in mind, I was shocked at how helpful Hans Rosling’s presentation of human life expectancy vs income graph. Hans Rosling proved that the context in which we read and visualize data can sometimes be just as powerful as the insights themselves.  In many cases, the context in which our data persists is inextricable to the conclusions formed. In this case, Hans Rosling’s step by step explanation of population rates in light of events such as world wars and flu outbreaks was extremely helpful. This goes to show the power of data context as well as supplemental information about the data itself.  

In watching this video, I agree with KS in that Rosling’s presence behind the graph made the data science itself much more accessible.  So often I feel as though data is meant to be presented in a complicated way as a means for achieving complicated or sophisticated insights.  By standing behind his graph and walking through his conclusions in plain english, Rosling did a great job of inviting people into his research.