You can test drive the most recent release of RCloud by logging in to the public instance as a Data Scientist or you can view and interact with shared notebooks as a Anonymous User. Alternatively, you may set up a local instance of RCloud so that analyses are only shared within an organization; see the Download section for more details.
Anonymous Users may view and interact with RCloud notebooks without having to set up an RClound account. This "read only" method of accessing notebooks allows Data Scientists to share their completed work as a web page with non-developers. Click on an image below or visit our Gallery for additional examples that may be found on the public instance of RCloud.
Since RCloud has built-in version control based on authorized Github gists, Data Scientist access is obtained through your GitHub account.
Press the 'Log In' button below to access the public instance of RCloud, or type https:rcloud.social/login.R in your browser; for help in setting up a GitHub account and authorizing the RCloud app, check out the 'Data Scientist Access' instructions on our Tutorials page.
After logging in, view sample code by clicking on a notebook name (e.g., RCloud Sample Notebooks/Data Analysis/Maps; NYC Taxi Rides/zips), view sample notebook results by pressing the 'run' button in the navigation bar, or create your own notebook using the '+' key in the left windowshade panel and begin editing by typing code in a prompt cell.
Local RClouds may be created to facilitate collaboration and sharing within an organization. Set up a private Enterprise installation of RCloud by checking out these prerequisites, installation instructions, walk-through our tutorial Public Instance versus Local Installation or contact firstname.lastname@example.org for assistance.
Alternatively, you may use our RCloud Docker package to create an individual RCloud (e.g., single user access).