Graph Data Science

Analyze and Cluster OpenStreetMap Data you own this product

This project is part of the liveProject series Hands-on Graph Data Science with LynxKite
prerequisites
basic Python • tables and their representation as CSV file • basic data science and machine learning
skills learned
convert map data to a graph representation • visualize graphs • compute and use common centrality metrics
Andras Nemeth
1 week · 6-8 hours per week · INTERMEDIATE
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Look inside
In this liveProject, you’ll use LynxKite and graph data techniques to identify some of the most important geographic points in the city of Bruges. You’ll start by downloading and processing map data, and then use a simple Python program to convert it into a graph. You’ll use graph centrality metrics to quantify the importance of vertices in your graph, and determine some of Bruges’ important locations. You’ll then use the same structure to figure out the main areas of the city without using actual district data.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Andras Nemeth
András Németh is the CTO of Lynx Analytics, with significant experience (as the top technology executive on client projects) in using graphs in real-world consultancy projects. He also led the development of LynxKite, a Graph Data Science Platform in the past six years. He has an MsC in Software Engineering and an MsC in Mathematics. Before Lynx Analytics, he worked for Google where he was the tech lead on a project aiming to annotate web pages with entities from Google's Knowledge Graph.

prerequisites

This liveProject is for data scientists interested in the basic techniques of graph data science. This project is suitable for all levels of expertise, from beginners to experienced practitioners. To begin this liveProject, you will need to be familiar with:

  • Basic Python
  • Tables and their representation as CSV file
  • Basic data science and machine learning

you will learn

In this liveProject, you’ll learn the basics of graph data structures and how to define relationships between data.

  • Convert map data to a graph representation
  • Visualize graphs
  • Compute and use common centrality metrics
  • Simple graph clustering techniques

features

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You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
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book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.

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  • Analyze and Cluster OpenStreetMap Data project for free

team

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  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Analyze and Cluster OpenStreetMap Data project for free