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SkillsCast

Using linked data to visualise the evolution of music - Intermediate

6th July 2017 in London at CodeNode

There are 42 other SkillsCasts available from Infiniteconf 2017 - the conference on Big Data and Fast Data

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This is a talk about using freely available linked data: how to collect it, manage it, and visualise it.

Duncan will start by defining linked data, and the value it holds for a data scientist. You'll explore use cases that show how analysing connections using specific data mining and visualisation techniques can help you gain deeper understanding of a topic.

Most of this talk will describe Duncan's own experience building an interactive tool for visualising the connections between different music genres.

Join Duncan and see how he used SPARQL to mine and query data from DBPedia, and then JavaScript code libraries, including d3, to visualise the connections. He’ll include code snippets, and publish some source code on GitHub for you to try. He’ll share what he learned together with best practices you should follow when designing your own visualisation.

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Using linked data to visualise the evolution of music - Intermediate

Duncan Grant

I am an experienced JavaScript developer with a keen interest in hacking and visualising data in libraries such as D3. I'm also a big fan of SPARQL and graph databases such as Neo4j and ArangoDB.

SkillsCast

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

This is a talk about using freely available linked data: how to collect it, manage it, and visualise it.

Duncan will start by defining linked data, and the value it holds for a data scientist. You'll explore use cases that show how analysing connections using specific data mining and visualisation techniques can help you gain deeper understanding of a topic.

Most of this talk will describe Duncan's own experience building an interactive tool for visualising the connections between different music genres.

Join Duncan and see how he used SPARQL to mine and query data from DBPedia, and then JavaScript code libraries, including d3, to visualise the connections. He’ll include code snippets, and publish some source code on GitHub for you to try. He’ll share what he learned together with best practices you should follow when designing your own visualisation.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Using linked data to visualise the evolution of music - Intermediate

Duncan Grant

I am an experienced JavaScript developer with a keen interest in hacking and visualising data in libraries such as D3. I'm also a big fan of SPARQL and graph databases such as Neo4j and ArangoDB.