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r-workshop-ire

                                      !\_________________________/!\
                                      !!                         !! \
                                      !!     Getting Started     !!  \
                                      !!         with R          !!  !
                                      !!           +             !!  !
                                      !!      More with R        !!  !
                                      !!                         !!  !
                                      !! @iRe 2016, where you'll !!  !
                                      !!    LEARN TO LOVE R      !!  /
                                      !!_________________________!! /
                                      !/_________________________\!/
                                       __\_________________/__/!_  )
                                       !_______________________!/   )
                                       |________________________|  (__
                                       /oooo  oooo  oooo  oooo /!   _  )_
                                     /ooooooooooooooooooooooo/ /  (_)_(_)
                                    /ooooooooooooooooooooooo/ /    (o o)
                                   /o=_____________________/_/    ==\o/==

Data + Code for Getting started with R & More with R workshop at the IRE conference in New Orleans on Saturday, June 18th 2016

Why R?

  • R makes it easy to automate data cleaning and analysis tasks
  • R by default leaves a trail of code that documents all the work you've done, unlike a program like Excel
  • R can read extremely large data sets: Excel's row limit is 1 million rows, R's is more than 2 billion
  • R has a nice user interface called RStudio, where you can write code, view data, perform analyses and even make visualizations
  • R can read several types of data files - geospatial data, JSON, XML feeds, csv/txt/xlsx/xls formats. Converting between them is simple, too
  • R is free and open source. The community is ever growing and extremely helpful - from local R Meetups and the annual useR conference, to online forums like StackOverflow, to #rstats on Twitter

Links to install R and RStudio

  • R: website for the R software
  • RStudio: website for RStudio, a powerful graphical user interface for R

How to use these files

  • You can clone or download this repository by clicking on the green button above, "Clone or download"
  • We recommend opening the .r files in RStudio while reading the .ipynb notebooks online by clicking the Github links above

Questions / Feedback?

[email protected]

[email protected]

or on Twitter

@christinezhang

@ryanvmenezes