By Michael Hunger, Developer Relations | August 17, 2017
graph database (and more) based on Game of Thrones (and A Song of Ice and Fire) data.
As season 7 is progressing, interest around Game of Thrones data is flaring up again. There are plenty of very thorough data sources like the A Wiki of Ice and Fire and the Game of Thrones Wikia. But those are unfortunately not available as plain data APIs.
Thanks to Joakim Skoog that changed at least a bit. He scraped and cleaned data from the sources above and made it available at his An API of Ice and Fire, which is a neat .NET project running on Microsoft Azure. The code and data (!!) is also available in his GitHub repository.
Most recently, the Wall Street Journal wrote about his API, which I find quite unexpected.
'Game of Thrones' fans are getting obsessive over datahttps://t.co/ImY1rWJQuO— Wall Street Journal (@WSJ) July 12, 2017
As we currently have our 7 weeks of Graph of Thrones challenge running, I thought it would be fun and useful to create a Neo4j graph database out of Joakim’s data.
You can find all the scripts and documentation in my game-of-graphs GitHub repository.
The data about Westeros is available via several API endpoints, which are detailed in the documentation. For us the house and character data is most interesting….
Read the rest of Michael’s post on Medium where he covers using Neo4j, GraphQL and Cypher to analyze data from Game of Thrones / A Song of Ice and Fire.
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About the Author
Michael Hunger, Developer Relations
Michael Hunger has been passionate about software development for a very long time. For the last few years he has been working on the open source Neo4j graph database filling many roles.
As caretaker of the Neo4j community and ecosystem he especially loves to work with graph-related projects, users and contributors. As a developer, Michael enjoys many aspects of programming languages, learning new things every day, participating in exciting and ambitious open source projects and contributing and writing software related books and articles.
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