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 Public Package Manager
RStudio Package Manager
The basics, and some of the pitfalls, of calling web APIs from within R.
July 13, 2017
There is a vast amount of data available on the web, and much of it is accessible via APIs. Sources ranging from the US Census Bureau to the NOAA National Weather Service to S3 buckets and online databases can be reached programmatically from within R. This webinar will cover the basics, and some of the pitfalls, of calling web APIs from within R, including read/write operations, headers, authentication, error handling, and response parsing.
Amanda has solved problems at small, Boston-based startups for many years. She has experience building high-quality software in various roles, including customer support, test strategy and automation, and product management. Amanda started learning R in 2016, and has been using it ever since to provide insights into RStudio’s internal data and to inspire product improvements.