def analyze_dataset(dataset):
analyzer = Analyzer(G)
analyzer.print_basic_description()
print("average degree: ", analyzer.average_degree())
print("diameter: ", analyzer.diameter())
analyzer.print_components_analysis()
print("shortest path: ", analyzer.shortest_path())
print("average clustering coefficient of the network: ", analyzer.average_clustering_coefficient_of_the_network())
print("average clustering coefficient of the largest connected component",
analyzer.average_clustering_coefficient_of_the_largest_connected_component())
analyzer.plot_degree_distribution()
analyzer.plot_degree_distribution_in_loglog_scale()
analyzer.plot_distribution_of_the_clustering_coefficient()
analyzer.plot_distance_distribution()
analyzer.plot_betweenness_centrality_distribution()
analyzer.plot_connected_components_size_distribution()
analyzer.plot_connected_components_size_distribution_bar()
analyzer.draw()
analyzer.draw_heatmap_degree_distribution()
analyzer.draw_heatmap_betweenness_distribution()
analyzer.draw_heatmap_eigenvector_distribution()
analyzer.draw_heatmap_closeness_distribution()
