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R-Flow

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.

  1. Personal: Installed/run on a personal PC.

    Requirements

    Windows 7 Over (64 bit)

    R 3.6 Over

    Python 3.6 Over

  2. 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

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A platform for data analysis using R and Python in a workflow method

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