<｜begin▁of▁sentence｜>### Instruction:
As a geographer, suppose you are studying the enrollment patterns of students in different courses at a university. You have a list of student-course enrollment data, where each entry specifies a student's enrollment in a particular course. Additionally, you have information about the type of each vertex in the graph, distinguishing between students and courses.

Given this data, you need to generate the projection of the enrollment graph onto the set of vertices representing students and then provide a summary of the resulting student-student projection graph. This will help you understand which students share common course enrollments and their potential interactions within the university environment.
### Response:
import igraph as ig

# Create a bipartite graph
edges = [(0, 1), (0, 2), (1, 3), (1, 4)]
types = [0, 0, 1, 1, 1] # 0 for one set, 1 for the other set
g = ig.Graph(edges=edges)
g.vs['type'] = types

# Perform a bipartite projection which results in two graphs
# The first graph includes vertices of type 0, the second graph type 1
projected_graphs = g.bipartite_projection()

# Select the projection as needed, here, we choose the projection on type 0 vertices
projection = projected_graphs[0]

# Print the summary of the projected graph
print(projection.summary())
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