Tag: D3.js


Sunday data/statistics link roundup (1/27/2013)

  1. Wisconsin is decoupling the education and degree granting components of education. This means if you take a MOOC like mine, Brian's or Roger's and there is an equivalent class to pass at Wisconsin, you can take the exam and get credit. This is big. (via Rafa)
  2. This  is a really cool MLB visualisation done with d3.js and Crossfilter. It was also prototyped in R, which makes it even cooler. (via Rafa via Chris V.)
  3. Harvard is encouraging their professors to only publish in open access journals and to resign from closed access journals. This is another major change and bodes well for the future of open science (again via Rafa - noticing a theme this week?).
  4. This deserves a post all to itself, but Greece is prosecuting a statistician for analyzing data in a way that changed their deficit figure. I wonder what the folks at the International Year of Statistics think about that? (via Alex N.)
  5. Be on the twitters at 10:30AM Tuesday and follow the hashtag #jhsph753 if you want to hear all the crazy stuff I tell my students when I'm running on no sleep.
  6. Thomas at StatsChat is fed up with Nobel correlations. Although I'm still partial to the length of country name association.

Sunday Data/Statistics Link Roundup (2/12)

  1. An awesome alternative to D3.js - R’s svgAnnotation package. Here’s the paper in JSS. I feel like this is one step away from gaining broad use in the statistics community - it still feels a little complicated building the graphics, but there is plenty of flexibility there. I feel like a great project for a student at any level would be writing some easy wrapper functions for these functions. 
  2. How to run R on your Android device. This is very cool - can’t wait to start running simulations on my Nexus S.
  3. Interactive word clouds via John C. and why word clouds may be dangerous via Jason D. 
  4. Trends in APIs - there are more of them! Go get your free data. 
  5. A really interesting paper by Gary King on how to get a paper by exactly replicating, then building on or discussing, the results of a previous publication. 
  6. 25 minute seminars - I love this post by Rafa, probably because my attention span is so short. But I think 25-30 minute talks are optimal for me to learn something, but not start to zone out…

Sunday Data/Statistics Link Roundup (2/5)

  1. Cool app, you can write out an equation on the screen and it translates the equation to latex. Via Andrew G.
  2. Yet another D3 tutorial. Stay tuned for some cool stuff on this front here at Simply Stats in the near future. Via Vishal.
  3. Our favorite Greek statistician in the news again
  4. How measurement of academic output harms science. Related: is submitting scientific papers too time consuming? Stay tuned for more on this topic this week. Via Michael E. 
  5. One from the archives: Data visualization and art

Sunday Data/Statistics Link Roundup

  1. Statistics help for journalists (don’t forget to keep rating stories!) This is the kind of thing that could grow into a statisteracy page. The author also has a really nice plug for public schools
  2. An interactive graphic to determine if you are in the 1% from the New York Times (I’m not…).
  3. Mike Bostock’s d3.js presentation, this is some really impressive visualization software. You have to change the slide numbers manually but it is totally worth it. Check out slide 10 and slide 14. This is the future of data visualization. Here is a beginners tutorial to d3.js by Mike Dewar.
  4. An online diagnosis prediction start-up (Symcat) based on data analysis from two Hopkins Med students.

Finally, a bit of a bleg. I’m going to try to make this link roundup a regular post. If you have ideas for links I should include, tweet us @simplystats or send them to Jeff’s email.