RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, Shiny Server, and shinyapps.io. Shiny, ggplot, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.

Date: June 10th, 2015
Time: 11:00 AM EDT

Description:

You can't use R for data analysis unless you can get your data into R. Getting your data into R can be a major hassle, so in the last few months Hadley has been working hard to make it easier.

In this webinar Hadley will discuss the places you most often find data (databases, excel, text files, other statistical packages, web apis, and web pages) and the packages (DBI, xml2, jsonlite, haven, readr, exel) that make it easy to get your data into R.

Getting your data into R webinar registration:


Presenter:
HadleyHadley Wickham - Hadley is Chief Scientist at RStudio and Adjunct Professor of Statistics at Rice University. His work includes R packages for data analysis (ggplot2plyrreshape2); packages that make R less frustrating (lubridate for datesstringr for stringshttr for accessing web APIs); and that make it easier to do good software development in R (roxygen2testthat,devtoolslineprofstaticdocs). He is also a writer, educator, and frequent contributor to conferences promoting more accessible and more effective data analysis. GitHub


Capacity:

Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.

Our webinar host, GoToWebinar, Now Supports Linux but ONLY for VIDEO.  You must dial in by Telephone to the conference for access to the audio.


Live on June 10th at 11am EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.