BLACK LIVES MATTER
Join us and donate
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
RStudio for the Enterprise
Easily share your insights
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Server Pro
RStudio Connect
RStudio Package Manager
Webinars Data Science Essentials
What's new with readxl? A Tidyverse solution for reading data stored in xls or xlsx format
May 10, 2017
Like it or not, spreadsheets are a common data source for many of us. We’ll review the overall landscape for importing spreadsheet data into R and then go into detail for the readxl package specifically. readxl is the Tidyverse solution for reading data stored in the legacy xls format or the more modern xlsx format. It has no tricky external dependencies, is quite speedy, and is easy to install and use across all operating systems.
Download Materials
Jenny is a software engineer on the tidyverse team. She is a recovering biostatistician who takes special delight in eliminating the small agonies of data analysis. Jenny is known for smoothing the interfaces between R and spreadsheets, web APIs, and Git/GitHub. She’s been working in R/S for over 20 years and is a member of the R Foundation. She also serves in the leadership of rOpenSci and Forwards and is an adjunct professor at the University of British Columbia.