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Datascience_R

Semester project (winter semester 2018/2019) of the course Data Science in R at the computer science faculty of the universtity of Magdeburg (https://kmd.cs.ovgu.de/teaching/DataSciR/index.html).

Members

Johannes Dambacher
Alexander Wagner

Instructions

The following sections explain the usage of this repository.

Repository Structure

The explanation of the file structure in this repository can be found in the tree below.

├── documentation			    Documentation what was done in this project
|   ├── images					All images that are used in the proposal and the final markdown
|   ├── markdown				Final markdown document describing the whole project
|   └── proposal				Proposal that contains the project plan and objectives for this project
├── res					    Contains all data resources
|   ├── person_data				Information about the test persons
|   ├── position_data			        Trajectorie files of the test persons on the diffrent days
|   └── precomputed_data		        Stores the precomputed data of the application
├── src					    Source code
|   └── functions				Functions that are used from the webpage
|       ├── include.R			            Installing and loading of all required packages
|       ├── dataloading.R		            Provides various methods for loading the data
|       └── traj2graph.R		            Provides methods for processing the trajectory data
|   └── MineR				        Source code of the shiny web application
|       ├── www				            Web application resources like videos and images
|       ├── server.R		                    Server Code 
|       └── ui.R			            UI Code

Website

Our web application can be found on shinyapps.io: https://ajwgnr.shinyapps.io/miner/

Screencast link

The screencast of our web application can be found on the "Project Introduction" tab of our website: https://ajwgnr.shinyapps.io/miner/

Markdown

The final Markdown file describing what we have done in this project is located in the subfolder markdown of the documentation folder . PDF-Version: https://drive.google.com/open?id=1WMw8WQlkgY5c5MEJn9xCRYjYhrRgiJXc
HTML-Version: https://drive.google.com/open?id=1_mW9uutjtiEnuBJcIjaMm2IJIG9HoLPP (File needs to be downloaded to be viewed correctly)

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Analysis of medical data using R Shiny

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