# Visual Analytics¶

At the end of the analytical process is it often useful to visualize the obtained results. CDlib provides a few built-in facilities to ease such task.

## Network Visualization¶

Visualizing a graph is always a good idea (if its size is reasonable).

 plot_network_clusters(graph, partition, position) Plot a graph with node color coding for communities. plot_community_graph(graph, partition[, …]) Plot a algorithms-graph with node color coding for communities.

## Analytics plots¶

Community evaluation outputs can be easily used to generate a visual representation of the main partition characteristics.

 plot_sim_matrix(clusterings, scoring) Plot a similarity matrix between a list of clusterings, using the provided scoring function. plot_com_stat(com_clusters, com_fitness) Plot the distribution of a property among all communities for a clustering, or a list of clusterings (violin-plots) plot_com_properties_relation(com_clusters, …) Plot the relation between two properties/fitness function of a clustering plot_scoring(graphs, ref_partitions, …[, …]) Plot the scores obtained by a list of methods on a list of graphs.