Three first axes of our PCA: Individuals Point of View

 From the Principal Component Analysis, Our two first axes are represented here:

We can see a big picture containing all of our data. We can see a grouping status. The colors correspond to classification following a k-mean classification. But the result appears to mix classes.

We cans see the second and third axes with the same colorization . But the result is not enough clear

We can think that the result is an amalgam of complex variables.
The difficult to study groups is evident . As the correlation between our individual data we can see particulars group in our study. All the data are evolving following the same "rules" .