In Python, which library provides tools for working with graph data structures and performing graph analysis tasks?

Pandas
Seaborn
NetworkX
Statsmodels

The correct answer is C. NetworkX.

NetworkX is a Python package for the creation, manipulation, and analysis of complex networks. It is a popular choice for graph analysis because it is easy to use and has a wide range of features.

Pandas is a Python package for data analysis. It is used to read, clean, and manipulate data. It is not specifically designed for graph analysis.

Seaborn is a Python package for statistical visualization. It is used to create beautiful and informative graphs. It is not specifically designed for graph analysis.

Statsmodels is a Python package for statistical modeling. It is used to fit statistical models to data. It is not specifically designed for graph analysis.

Here are some examples of how NetworkX can be used:

  • Create a graph of friends on Facebook.
  • Analyze the network of hyperlinks between web pages.
  • Model the spread of a disease through a population.
  • Analyze the social network of a company.

NetworkX is a powerful tool for graph analysis. It is easy to use and has a wide range of features. If you need to analyze a graph, NetworkX is a good choice.