There's a lot of value in data out there - but there's a lot of nonsense too. Knowing is half the battle!
In this talk, Aaron Schumacher will show you how to use R to interrogate your data and whip it into shape so that you can get good results. We'll iteratively load, explore, merge, graph, and use assertive code to keep our data honest.
In preparation for the talk, please be sure you have installed R: http://watson.nci.nih.gov/cran_mirror/ and RStudio: http://www.rstudio.com/ide/download/desktop If you've never used R, you could warm up with a free web tutorial on the basics: http://tryr.codeschool.com/
We'll get you up and running with everything else you need once you arrive!
Aaron Schumacher is a data scientist interested in understanding the world. He has helped people learn to use R, Python, and other tools at NYU and General Assembly. He likes visualization, machine learning, and breakdancing.