Summary
In this chapter, we’ve explored a few helpful tools for graph data visualization. First, networkx has helped us visualize relatively small graphs in a Jupyter notebook. We have explored the challenge of graph data visualization and learned about graph layout. In the second part, we have used another great tool—part of the Neo4j ecosystem—called Neo4j Bloom. It has many features allowing to deal with graph data stored in Neo4j without writing any Cypher query. We have focused on how to customize the appearance of the graph, choosing the node’s color and size.
Finally, we have discovered a very powerful tool we have to know about when dealing with GDS: Gephi. Here, again, we have focused on node appearance configuration.
In all cases, you are highly encouraged to dig deeper into these tools by yourself, using your own data and/or exploring the features we can’t talk about in this book (unless we double its length, but then nobody would...
