9 more ways to bring data into R
[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Here's a followup to yesterday's post on using the rdatamarket package to import data into R. Ajay Ohri at the DecisionStats blog offers nine additional methods for bringing data into R, from sources including InfoChimps, the Google Prediction API, the World Bank World Development Indicators, Bloomberg Market Data, and much more. See Ajay's post at the link below for the details.
DecisionStats: Using #Rstats for online data access
To leave a comment for the author, please follow the link and comment on their blog: Revolutions.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.