Context Having such a task as predicting the travel time of taxis, it can be insightful to have a deeper look at the underlying street network of the city. Network Analysis can enable us to get insights for why certain taxi trips take longer than others given some basic network properties. Examples for the analysis can be: calculate the shortest path, measure the influence of specific streets on the robustness of the network or find out which streets are key points in the network when it comes to traffic flow. Content This dataset contains one large Graph for the Street Network of New York City in GraphML format and a subgraph for the area of Manhattan for fast testing of your Analysis. Each Graph was created with the awesome python package https://github.com/gboeing/osmnx which is not available on Kaggle. The Graphs nodes attributes are taken from OSM and contain information to which other nodes they are connected, how long the connection is, which speed limit it has etc. Acknowledgements https://github.com/gboeing/osmnx Inspiration Explore the New York Street Network, gain a deeper understanding for network analysis and craft some useful Features for the Taxi Trip Prediction Competition!