Exploratory data analysis

Some variables were continuous, others ordinal, a few were binary, and a bunch were quasi-quantitative (time quantity). The other challenge was normalizing and transforming the dataset in a way that is suitable for visualization across many variable types.

I used tools such as RapidMiner, Orange and countless others I can't remember to understand how automatic preprocessing that is optimized out of the box. From this, I extracted several patterns that I applied to my own dataset.