FAIRiCUBE Deliverable D3.1 UC exploratory data analysis

This deliverable needs to be seen as one item of a classical and logical execution of a machine learning 
(ML) application. Given availability/ingestion of data, we first perform an exploratory data analysis to 
get familiar with the data, analyse statistical parameters and distribution, check for completeness, 
outliers and other characteristics which could be relevant for the choice of the machine learning. This 
in-depth data analysis is covered by this deliverable D3.1 UC exploratory data analysis