I'm not 100% sure what you are looking for, but I started by loading it into Tableau for you and putting together a viz that allows you to compare the attributes of each species.
Appreciate if you could clarify what you are looking for and let me know
HTH 18.1 attached
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Thank you very much for your reply. Sorry for not being clear in my previous question. I was wondering about the possibility of creating a viz like in a principal component analysis.
For an instant, the possible relationships between each animal species when their features are plotted on the plane. I was assuming a single species might show it's features clustered together like in the attached picture with a goal of indicating how each animal is different from others.
Sadly, I don't have an answer for you, but I am interested in exactly the same thing. Does anyone have some simple example using R (I assume) and Tableau that could take superstore data or this data and do some rudimentary principal component analysis or feature pruning?
I keep thinking of this page (https://towardsdatascience.com/the-random-forest-algorithm-d457d499ffcd ) which shows this table below.
Hopefully I am not hijacking your thread here, but I believe this too is what you want to be able to do.
Not exactly sure, but this kind of image?
You can convert each feature to one "Text" and use Font or Emoji to represent that text as "symbol" .
I used "Emoji" to represent each value in feature, but you can use alphabet, or some special "font" to represent "Shape".
Circle_with_Char.twbx 52.8 KB