<｜begin▁of▁sentence｜>### Instruction:
As a Sales Manager, you lead and direct sales teams, develop sales strategies, and set sales targets and goals for organizations. Consider a scenario where you are working with a team of sales representatives in a large retail organization. You are exploring ways to visualize the connections and relationships between different product categories and their associated sales data to gain insights into potential cross-selling opportunities. In this scenario, you need to manually draw the connections between 5 product categories (vertices) using 4 undirected edges in a PlotlyPlot. Additionally, you want to label each product category on the plot to clearly represent the network structure.
### Response:
import igraph as ig
from igraph.drawing import PlotlyPlot

# Create a graph with 5 vertices and 4 undirected edges
g = ig.Graph(edges=[(0,1), (0,2), (0,3), (3,4)])

# Assign names and visual properties to vertices
g.vs['name'] = ['A', 'B', 'C', 'D', 'E']
g.vs['label'] = g.vs['name']

# Create a plotly plot
plot = PlotlyPlot(g, vertex_label=g.vs['name'])

# Draw the vertices
plot.add_vertices()

# Draw the undirected edges manually by using PlotlyEdgeDrawer
drawer = plot.edge_drawer
for edge in g.es:
    drawer.draw_undirected_edge(
        edge,
        src_vertex=g.vs[edge.source],
        dest_vertex=g.vs[edge.target]
    )

plot.show()
<|EOT|>
