I have two datasets like this (dots are random numbers):
Category 1
A B C D E F G H
1 3 0 0 3 . . .
2 2 0 0 2 . . . .
3 0 2 4 2 . . . .
4 1 1 5 2 . . . .
5 0 . . . . . . .
6 2 . . . . . . .
7 3 . . . . . . .
8 0 . . . . . . .
Category 2
A B C D E F G H
1 1 0 0 1 . . . .
2 1 0 0 1 . . . .
3 1 2 1 2 . . . .
4 0 1 5 0 . . . .
5 0 . . . . . . .
6 0 . . . . . . .
7 3 . . . . . . .
8 0 . . . . . . .
A-H = things that the respondent should rank
1-10 = the ranking
Ex. A is one time ranked on place 1, two times ranked on place 2 and zero times ranked on place 3 etc.
I have two different kind of people that filled in the survey (Category 1 & Category 2) so that's why there are two datasets with different kind of outcomes. Now I want to visualize this in the best way possible, so that you can see things like Category 1 find A & D more important than Category 2. I work with python/pandas/matplotlib.
Can somebody help?