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1673 andrew gelman stats-2013-01-15-My talk last night at the visualization meetup


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Introduction: It went pretty well, especially considering it was an entirely new talk (even though, paradoxically, all the images were old), and even though I had a tough act to follow: I came on immediately after an excellent short presentation by Jed Dougherty on some cool information and visualization software that he and his colleagues are building for social workers. The only problems with my were: (a) I planned to elicit more audience involvement but didn’t do it. It would’ve been easy: at any point I could’ve just paused and had the audience members work in pairs to come up with suggested improvements to any of my graphs. But I forgot to do it. (b) I went on too long. The talk was going so well, I didn’t stop. In retrospect, it would’ve been better to stop earlier. Better for people to leave the table hungry than stuffed. Also, next time I’ll drop the bit about the nuns-in-prison movies. People weren’t getting the connection to the point I was making about presetting the sig


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 The only problems with my were: (a) I planned to elicit more audience involvement but didn’t do it. [sent-2, score-0.651]

2 It would’ve been easy: at any point I could’ve just paused and had the audience members work in pairs to come up with suggested improvements to any of my graphs. [sent-3, score-0.646]

3 In retrospect, it would’ve been better to stop earlier. [sent-7, score-0.18]

4 Better for people to leave the table hungry than stuffed. [sent-8, score-0.358]

5 Also, next time I’ll drop the bit about the nuns-in-prison movies. [sent-9, score-0.115]

6 People weren’t getting the connection to the point I was making about presetting the signs of variables before presenting an analysis. [sent-10, score-0.347]


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tfidf for this blog:

wordName wordTfidf (topN-words)

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