Jupyter Notebook, a popular and free tool for data analysts, provides an easy way to create and share computational documents based on Python. In this session, you will learn how to integrate insightful graph visualizations into Jupyter Notebooks using Neo4j databases and Graph Data Science (GDS) effortlessly. Using specific examples based on real-world data sets, Benjamin will demonstrate how to integrate beautiful visualizations for your connected data that help answer questions from temporal and spatial data analysis.
By the end of this session, you’ll be capable of impressive data storytelling in Jupyter Notebooks with powerful graph visualizations using free tools.
with Benjamin Niedermann
Get certified with GraphAcademy: https://dev.neo4j.com/learngraph
Neo4j AuraDB https://dev.neo4j.com/auradb
Knowledge Graph Builder https://dev.neo4j.com/KGBuilder
Neo4j GenAI https://dev.neo4j.com/graphrag