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Quantified Self Adventures at Wolfram

Quantified Self Adventures at Wolfram

My adventures analyzing personal data at Wolfram, as lead data analyst on the March 2012 quantified self blog post.

April 2014, Data Raves NYC: http://www.meetup.com/Data-Rave/events/170730922/

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paul-jean

April 02, 2014
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Transcript

  1. Slide 1 of 17 Quantified Self Adventures at Wolfram Paul-Jean

    Letourneau Hacker School W’ 14 0 100 200 300 400 interval ms w o o l l f f r r a a m
  2. Stephen Wolfram’ s blog post (March 2012) I was the

    lead data analyst for Stephen Wolfram’ s quantified self blog post: 2 data-rave-slides.nb
  3. email We had about 20 years worth of personal data!

    Each dot is a sent email on date X and time Y (“ diurnal plot” ): data-rave-slides.nb 3
  4. keystrokes The diurnal plot of keystrokes is very similar to

    the email plot: 4 data-rave-slides.nb
  5. phone calls and meetings Phone call spikes on the hour?

    Why? Because that’ s when his meetings are (he’ s remote so all his meetings are on the phone): (The ‘ tails’ on the phone peaks show he’ s often late to his meetings.) data-rave-slides.nb 5
  6. Awesome! Show me the code! 6 data-rave-slides.nb

  7. follow-up blog posts We wrote several follow-up posts showing detailed

    code for analyzing email, keystrokes, and pedometer data: data-rave-slides.nb 7
  8. I wrote an interface for analyzing your keystrokes: 8 data-rave-slides.nb

  9. data collection Type “ wolfram” a bunch of times, then

    grab the data: data-rave-slides.nb 9
  10. my keystrokes Letter pair intervals when typing “ wolfram” (after

    50 trials): intervals Transpose Differences keydata All, All, 2 ; Labeled ListLinePlot intervals, Mesh All, PlotStyle colors, PlotLegends SwatchLegend colors, nicelabel pchars , ImageSize 500 , nicelabel "letter interval sec " , nicelabel "trial" , Left, Bottom , RotateLabel True letter interval sec 10 20 30 40 50 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 w o o l l f f r r a a m trial 10 data-rave-slides.nb
  11. letter interval distribution My letter pair interval distribution is bimodal:

    Labeled keyhistogram intervals, ChartStyle colors, ImageSize 600, AspectRatio 1 2, PlotLabel nicelabel "Letter interval distribution Paul Jean " , nicelabel "interval ms " , SwatchLegend colors, nicelabel pchars , Bottom, Right , Spacings Automatic, 0 50 100 150 10 20 30 Letter interval distribution Paul Jean w o o l l f f r r a a m interval ms data-rave-slides.nb 11
  12. the “ same finger” rule? Letter pairs on the same

    finger ~ 150 ms Letter pairs on different fingers ~ 75 ms Mean Flatten intervals 1, 3, 5, 6 0.074238 Mean Flatten intervals 2, 4 0.144710 Does it take about twice as long for other people too? 12 data-rave-slides.nb
  13. company experiment I got keystroke data from 42 data nerds

    at Wolfram: meanswolfram Mean Transpose Differences & All, All, 2 & wolframdata; Legended Grid Partition keychart , ImageSize 100, ChartStyle Directive Opacity 0.6 , & colors & meanswolfram, 7, 7, 1, , SwatchLegend colors, nicelabel pchars w o o l l f f r r a a m data-rave-slides.nb 13
  14. Wolfram nerds typing “ wolfram” The Wolfram interval distribution was

    bimodal too, also with peaks at about 75 ms and 150 ms: intervalswolfram Flatten Transpose Transpose Differences All, All, 2 & wolframdata ; 0 100 200 w o o l l f f r r a a m interval ms 14 data-rave-slides.nb
  15. linear model ... But it’ s not just a 2x

    rule (the best linear model has a bias): twofingers Transpose Differences All, All, 2 1, 3, 5, 6 & wolframdata; onefinger Transpose Differences All, All, 2 2, 4 & wolframdata; fingersFit LinearModelFit Transpose Mean Flatten & twofingers, Mean Flatten & onefinger , x, x FittedModel 0.106044 0.490341 x Letter intervals for Wolfram nerds in ms same finger 50 100 150 200 250 50 100 150 200 250 300 different fingers data-rave-slides.nb 15
  16. conclusions Stephen Wolfram’ s quantified self blog made a splash.

    But people said: show me the code! Our follow-up posts showed people how to analyze their own data. Fun modeling keystrokes times with Mathematica. 16 data-rave-slides.nb
  17. thanks! @rule146 data-rave-slides.nb 17