R-Flow is a software product that uses R / Python to analyze data in a workflow. R-Flow can automatically perform R / Python analysis by selecting only the R / Python function Task icon without RScript / Python Script creation. It also defines and reuses all steps from data entry to output into a single workflow and provides a readily available model for statistics, machine learning and optimization. R-Flow provides a visualization function of the results of the Analytics Model as an Analytic Report.
R-Flow offers Personal and Enterprise versions.
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Personal: Installed/run on a personal PC.
Requirements
Windows 7 Over (64 bit)
R 3.6 Over
Python 3.6 Over
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Enterprise: Install the R-Flow server module on Linux and use it by connecting to the Linux server from the client (Windows). The server module is provided as a Docker image.
Requirements
Linux (Centos, Ubuntu)
Docker
Enterprise R-Flow Installation Guide (It is recommended to install with the root account during installation.)
Download Docker Image
docker push hwasumok/r-flow:latest
Docker Run
docker run -it
--hostname r-flow
--name r-flow
-p 9081:8080 -p 6311:6311 -p 3307:3306
--privileged
-e container=docker
-v /sys/fs/cgroup:/sys/fs/cgroup:ro
hwasumok/r-flow:latest
bash
Docker attacch
docker attach r-flow
Docker r-flow exec.
/root/r.flow.folder/r.flow.sh
Download R-Flow Client and Install. (* Assume that the server address is 10.10.10.10. )
Access http://10.10.10.10/r.flow.ui/pub/publish.html in a web browser.
Click the Install button to download and install the R-Flow client program.
**R-Flow server connection **
Run the installed R-Flow. When running for the first time, a window for entering the R-Flow server address appears.
Enter the server address as follows http://10.10.10.10/r.flow.ui/pub and click the OK button.
When the Login window appears, the system account ID and password are as follows.
admin/sysadmin