# DimLift

This project is based on an integrated dual analysis approach for high-dimensional quantitative and qualitative data. 
The original idea is based on the dual analysis approach developed by Turkay et al. [1]. By treating both, dimensions and items, 
as first order objects, users can obtain an overview about the data and identify possible correlations by investigating changes 
among descriptive statistics after subset selection.  

[1]   C. Turkay, P. Filzmoser, and H. Hauser, “Brushing Dimensions - A Dual Visual Analysis Model for High-Dimensional Data, ”IEEE Transactionson Visualization and Computer Graphics, vol. 17, no. 12, pp. 2591–2599,2011.

## How to run it
- download repository from github
- open project in development environment, such as IntelliJ idea
- right click on **app.py** and run it
- navigate to */templates/index.html* and select run

Now, the project is running.


## Modification
- new data table: 
    - add csv to */resources*
    - in **app_MDA.py** line 23 specify path to your csv file