It looks like you're running into issues with how data displays based on Measure vs Dimension and Continuous vs Discrete. Try switching your variables on Columns between to be Discrete Dimensions.
If this doesn't work, if you attach your workbook, we can better help.
1 of 1 people found this helpful
What you're trying to accomplish
is a kind of analysis called
Association Rules or Market Basket.
In it simplistic form it is mainly about
counting objects (baskets) containing
any pair of items (features) from a set.
The common approach -- and the one
which is easy to analyse in Tableau --
is to prepare a cross-matrix of features.
For that one could shape the datasource
into a special form -- a table of every item (feature)
self-joined on a basket key (feature vector).
As an example I've prepared such a datasource
from the sample 32-row table (the same as yours)
by UNIONing it 5 times (one part for each feature)
then self-joining to a copy of that table (5-UNION)
on a common key (f_vector) which is unique
for every row in the original 32-rows dataset.
Please find the attached wb and Excel datasource.
Hope it could help to start.
PS The alternative path (not requiring Tableau at all)
is to use machine learning Association Rules algorithms.