LifelinesML

R shiny application made for the Honours Lab "From stupid data to intelligent Solutions" at Hanze University of Applied Sciences. Course taken in academic year of 22/23.

A running version of this project can be found at lifelinesml.denniswiersma.com

Usage

Getting the code

Clone repository

To clone the code found in this repository make sure you have installed git, open up your favorite terminal, navigate to your desired folder and run the command below:

git clone https://github.com/denniswiersma/LifelinesML

Zip file

In case you'd like a simple ZIP file containing the project's files you first navigate to this project's GitHub page. Find the green button labeled Code, click it, and click Download ZIP.

Dataset

The dataset used for this project was acquired from the Lifelines research group and can be found here. This application uses the complete dataset called Participants_Aggregated_Age in CSV format. A file called Participants_Aggregated_Age.csv containing the relevant data should therefore be placed in the project's root folder for the application to work.

R packages

The application relies upon the following R packages:

• shiny
• shinythemes
• shinyjs
• ggplot2
• corrplot

You should install them before running the application by running the following command in your R console:

install.packages(c("shiny", "shinythemes", "shinyjs", "ggplot2", "corrplot"))

Running the app

Rstudio

Once the dataset is in place, running the application through Rstudio is rather easy. Simply open the project in Rstudio, open the App.R file, and click the Run App button.

Terminal

Running the application through your terminal of choice is possible as well. Simply navigate to the project root and run the following command:

 R -e "shiny::runApp('LifelinesML')"

Docker container

To build a Docker image of this application make sure you have a fully working installation of Docker. Then open up your favourite terminal, navigate to this project's root folder, and run the following command:

docker build -t lifelines_ml ../LifelinesML

Once the building project finishes, you may run a container using:

docker run --name=lifelines_ml --rm -p 3838:3838 lifelines_ml

You may now use the application in your favourite browser at http://localhost:3838/