  In the field of algebraic systems biology, the number of minimal polynomial
models constructed using discretized data from an underlying system is related
to the number of distinct reduced Gr\"obner bases for the ideal of the data
points. While the theory of Gr\"obner bases is extensive, what is missing is a
closed form for their number for a given ideal. This work contributes
connections between the geometry of data points and the number of Gr\"obner
bases associated to small data sets. Furthermore we improve an existing upper
bound for the number of Gr\"obner bases specialized for data over a finite
field.
