http://blog.blprnt.com/blog/blprnt/two-sides-of-the-same-story-laskas-gladwell-on-cte-the-nfl There is an art to evolution... Tue, 09 Mar 2010 14:58:47 -0600 hourly 1 http://blog.blprnt.com/blog/blprnt/two-sides-of-the-same-story-laskas-gladwell-on-cte-the-nfl/comment-page-1#comment-1585 Facing Words Processing Text Comparison | TobiasHauser.com Wed, 17 Feb 2010 19:13:24 +0000 http://blog.blprnt.com/?p=953#comment-1585 [...] 2 weeks ago I came across Jeff Clark‘s post Two Sides of the Same Story. He shows both his and Jer Thorpe‘s visualisations of comparing two [...] [...] 2 weeks ago I came across Jeff Clark‘s post Two Sides of the Same Story. He shows both his and Jer Thorpe‘s visualisations of comparing two [...]

]]> http://blog.blprnt.com/blog/blprnt/two-sides-of-the-same-story-laskas-gladwell-on-cte-the-nfl/comment-page-1#comment-1380 Tim H Tue, 08 Dec 2009 19:49:40 +0000 http://blog.blprnt.com/?p=953#comment-1380 Nothing short of exceptional. Looking forward to the source code of this. Thank you for sharing this beautiful piece of work with us. Nothing short of exceptional. Looking forward to the source code of this. Thank you for sharing this beautiful piece of work with us.

]]> http://blog.blprnt.com/blog/blprnt/two-sides-of-the-same-story-laskas-gladwell-on-cte-the-nfl/comment-page-1#comment-1360 Tokyo versus Cairo: Comparing Obama’s Foreign Policy Speeches at thegraffik | Design and Illustration Wed, 02 Dec 2009 01:24:36 +0000 http://blog.blprnt.com/?p=953#comment-1360 [...] Note that this visualization tool was previously also applied to compare two very similar articles published on head injuries in the NFL. [...] [...] Note that this visualization tool was previously also applied to compare two very similar articles published on head injuries in the NFL. [...]

]]> http://blog.blprnt.com/blog/blprnt/two-sides-of-the-same-story-laskas-gladwell-on-cte-the-nfl/comment-page-1#comment-1303 Moral hazard and the NFL at This is the Green Room Thu, 12 Nov 2009 01:05:00 +0000 http://blog.blprnt.com/?p=953#comment-1303 [...] a data-driven perspective on the head injury debate, please see Jer Thorp and Jeff Clark’s independent analyses comparing two CTE [...] [...] a data-driven perspective on the head injury debate, please see Jer Thorp and Jeff Clark’s independent analyses comparing two CTE [...]

]]> http://blog.blprnt.com/blog/blprnt/two-sides-of-the-same-story-laskas-gladwell-on-cte-the-nfl/comment-page-1#comment-1302 adoption curve dot net » Blog Archive » links for 2009-11-10 Wed, 11 Nov 2009 00:05:25 +0000 http://blog.blprnt.com/?p=953#comment-1302 [...] Two Sides of the Same Story: Laskas & Gladwell on CTE & the NFL | blprnt.blg Until this weekend. I spent a few (okay, more like eight) hours putting together a tool with Processing that would examine some of the similarities and differences between the two articles. The most interesting data ended up coming from word usage analysis (I looked at sentences and phrases as well, but with not much luck). The base interface for the tool is a XY chart of the words – they are positioned vertically by their average position in the articles, and horizontally by which article they occur in more. The words in the centre are shared by both articles. Total usage affects the scale of the words, so we can see quite quickly which words are used most, and in which articles. (tags: visualisation visualization processing code analysis) [...] [...] Two Sides of the Same Story: Laskas & Gladwell on CTE & the NFL | blprnt.blg Until this weekend. I spent a few (okay, more like eight) hours putting together a tool with Processing that would examine some of the similarities and differences between the two articles. The most interesting data ended up coming from word usage analysis (I looked at sentences and phrases as well, but with not much luck). The base interface for the tool is a XY chart of the words – they are positioned vertically by their average position in the articles, and horizontally by which article they occur in more. The words in the centre are shared by both articles. Total usage affects the scale of the words, so we can see quite quickly which words are used most, and in which articles. (tags: visualisation visualization processing code analysis) [...]

]]> http://blog.blprnt.com/blog/blprnt/two-sides-of-the-same-story-laskas-gladwell-on-cte-the-nfl/comment-page-1#comment-1300 Brilliant language infographic by Jer Thorp — Some Random Dude Mon, 09 Nov 2009 19:30:07 +0000 http://blog.blprnt.com/?p=953#comment-1300 [...] language infographic by Jer [...] [...] language infographic by Jer [...]

]]> http://blog.blprnt.com/blog/blprnt/two-sides-of-the-same-story-laskas-gladwell-on-cte-the-nfl/comment-page-1#comment-1299 Two Visualizations of NFL Head Injury Articles | VizWorld.com Mon, 09 Nov 2009 17:03:19 +0000 http://blog.blprnt.com/?p=953#comment-1299 [...] Jer Thorpe took the text of two great articles on studies of head injuries in NFL players, one in GQ and another in The New Yorker, and created an interesting interactive visualization tool. Until this weekend. I spent a few (okay, more like eight) hours putting together a tool with Processing that would examine some of the similarities and differences between the two articles. The most interesting data ended up coming from word usage analysis (I looked at sentences and phrases as well, but with not much luck). The base interface for the tool is a XY chart of the words – they are positioned vertically by their average position in the articles, and horizontally by which article they occur in more. The words in the centre are shared by both articles. Total usage affects the scale of the words, so we can see quite quickly which words are used most, and in which articles. [...] [...] Jer Thorpe took the text of two great articles on studies of head injuries in NFL players, one in GQ and another in The New Yorker, and created an interesting interactive visualization tool. Until this weekend. I spent a few (okay, more like eight) hours putting together a tool with Processing that would examine some of the similarities and differences between the two articles. The most interesting data ended up coming from word usage analysis (I looked at sentences and phrases as well, but with not much luck). The base interface for the tool is a XY chart of the words – they are positioned vertically by their average position in the articles, and horizontally by which article they occur in more. The words in the centre are shared by both articles. Total usage affects the scale of the words, so we can see quite quickly which words are used most, and in which articles. [...]

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