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- access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
- choose one free eBook per month to keep
- exclusive 50% discount on all purchases
lite $19.99 per month
- access to all Manning books, including MEAPs!
team
5, 10 or 20 seats+ for your team - learn more
Look inside
New York City real estate is a trillion-dollar market, and you’ve got your eye on a collection of prime NYC properties whose value will likely double in a couple of years. They’re not currently for sale, but with your excellent sales skills, you’re confident you can get the owners to sell at a fair price, if you can only determine who the owners are. To obtain the owners’ contact data, you’ll construct a knowledge graph from publicly available data that contains tax records, property deeds, and permits. You’ll scan the data for the target owners, analyze the datasets for possible relationships, develop a knowledge schema that can extract insights into your use case, and load the data into Neo4j to query and visualize the connections. When you’re done, you’ll have practical experience applying widely used graph tools to real-world data, and you’ll understand how different choices for your graph schema can lead to different insights.
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.
prerequisites
This liveProject is for data scientists who have a background in data mining and graph theory and are interested in applying these techniques to constructing a knowledge graph. To begin these liveProjects you’ll need to be familiar with the following:
TOOLS- Intermediate Python 3.x skills
- Ability to create lambda functions and list comprehensions
- Intermediate Jupyter Notebook skills
- Ability to execute and debug cells
- Intermediate pandas (including visualizing pandas output)
- Ability to read, write, and query data from CSV files
- Intermediate data mining
- Analyze datasets
- Use SQL-like commands to query and aggregate data
- Basic graph theory
you will learn
In this liveProject, you’ll learn how to build knowledge graphs and you’ll understand the challenges of working with real-world data as well as how different choices for your graph schema can lead to different insights.
- Use pandas to manipulate datasets
- Query a Neo4j database using Cypher
- Analyze graph data using Neo4j’s APOC and Graph Data Science (GDS) libraries
features
- Self-paced
- You choose the schedule and decide how much time to invest as you build your project.
- Project roadmap
- Each project is divided into several achievable steps.
- Get Help
- While within the liveProject platform, get help from other participants and our expert mentors.
- Compare with others
- For each step, compare your deliverable to the solutions by the author and other participants.
- 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.
choose your plan
pro
monthly
annual
$24.99
$249.99
only $20.83 per month
- 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
-
![]()
Graphs from Real-World Data project for free
Graphs from Real-World Data project for free
team
monthly
annual
$49.99
$499.99
only $41.67 per month
- 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
-
![]()
Graphs from Real-World Data project for free
