<｜begin▁of▁sentence｜>### Instruction:
Certainly! Imagine you're a tax consultant, and each of your clients possesses connections to various financial entities, with some clients sharing entities. To manage and visualize these relationships, picture a scenario where we represent each client as a node and their connections to these financial entities as edges connecting the nodes. You have a dataset in which this information is summarized as follows: Client 0 is connected to Entities 1 and 2, Client 1 has connections with Entities 0 and 2, and Client 2 is likewise linked to Entities 0 and 1.

Can you employ the `from_dict_of_lists` method within the NetworkX library to establish a graphical network from this data? Once created, would you be able to provide a detailed enumeration of the network's clients and the connections between them? Use the dataset provided, `{0: [1, 2], 1: [0, 2], 2: [0, 1]}`, for structuring the graphical representation and sharing the resulting nodes and edges with us.
### Response:
import networkx as nx

dol = {0: [1, 2], 1: [0, 2], 2: [0, 1]}
# Create a new graph from a dictionary of lists
g = nx.from_dict_of_lists(dol)

# Print nodes and edges
print('Nodes:', g.nodes())
print('Edges:', g.edges())
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