<｜begin▁of▁sentence｜>### Instruction:
As a sports coach, I frequently use visualization tools and techniques to enhance athletes' understanding of game strategies and improve their performance. In a similar vein, I'd like to integrate graph visualization into our training sessions to help the team understand the connections and patterns in their games.

Suppose we have an upcoming match against a well-organized team, and I want to use network analysis to visualize the key connections within our game strategies. For this purpose, I'm interested in utilizing the Graph Atlas from Python's NetworkX library to generate and visualize the corresponding graph using igraph's Atlas function.

The Atlas function in igraph will enable us to quickly access and visualize the graph indexed as number 6 in the Graph Atlas, providing us with a clear visual representation of the key connections and structures within our game strategies. This visualization will be invaluable in helping our athletes grasp the strategic elements more comprehensively and to enhance their on-field performance.
### Response:
import igraph as ig

# Obtain a graph from the Graph Atlas by its index
atlas_index = 6
graph = ig.Graph.Atlas(atlas_index)

# Visualize the graph
ig.plot(graph)
<|EOT|>
