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.

Presenter:
Hadley Wickham – Hadley is Chief Scientist at RStudio and Adjunct Professor of Statistics at Rice University. His work includes R packages for data analysis (ggplot2, plyr, reshape2); packages that make R less frustrating (lubridate for dates, stringr for strings, httr for accessing web APIs); and that make it easier to do good software development in R (roxygen2, testthat,devtools, lineprof, staticdocs). He is also a writer, educator, and frequent contributor to conferences promoting more accessible and more effective data analysis. GitHub

Best Regards,
RStudio

Webinar Recordings:

All of our previous webinars have been recorded and can be found here:

Previous Webinars include:

• The Grammar and Graphics of Data Science

• Reproducible Reporting

• Interactive Reporting

• Managing package dependencies in R with packrat

• Data wrangling with R & RStudio

• Version control with git, github and RStudio

• Creating JavaScript data visualizations in R

• shinyapps.io overview and Tour

• Dynamic Dashboards with Shiny

• How to Convert R Code to Shiny Code