RStudio is becoming Posit in October. Learn more at posit.co
RStudio is becoming Posit in October.
Learn more at posit.co
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
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
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Academy
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Workbench
RStudio Connect
RStudio Package Manager
rstudio::conf 2018 R Markdown
Branding and automating your work with R Markdown
February 26, 2018
Notebooks have come a long way, from early IPython efforts to the latest features in RStudio that make it possible to export analysis to virtually any format. In this talk, I will discuss how our team of data scientists makes use of advanced features in RStudio to carefully brand reports and presentations for clients, which for us include professionals at all levels of government and the media. I will highlight lessons learned in areas like version control and automation - e.g., how a few lines of code allowed us to create a specialized report on crime for every county in Utah.
Daniel is the Chief Data Scientist at Sorenson Impact. He helps governments, nonprofits, and philanthropists use data to better address difficult social problems. Most of his time is divided between writing code and working directly with client organizations, in conjunction with the data team. Previously, he served as the Chief of Staff and Chief Data Scientist to Mayor Joe Curtatone of Somerville, Massachusetts, and as an Innovations in American Government Fellow at the Harvard Kennedy School.