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SkillsCast

Vega – A Grammar of Interactive Graphics

9th July 2018 in London at CodeNode

This SkillsCast was filmed at Vega – A Grammar of Interactive Graphics

At this month's Full Stack Quants, Markus Schanta will give a presentation about Vega, a framework for interactive visualisation. Don't miss it!

The talk will include a step-by-step tutorial for creating production-quality visualisations. Markus will also give an overview of related libraries and tools that you can use to create plots more easily.

The talk does not require extensive knowledge of Javascript or Python. It aims to provide useful information for beginners as well as people who are already familiar with these visualisation frameworks.

The slides and examples will be published live on GitHub.

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Thanks to our sponsors

Vega – A Grammar of Interactive Graphics

Markus Schanta

Markus Schanta is a data scientist with professional experience working for large hedge funds and investment banks. He uses mathematics, statistics and computer science to turn data into actionable insights. Originally from Austria, he holds a BSc from the Vienna University of Technology and an MS in Machine Learning from Columbia University in New York where he had been awarded a Fulbright Scholarship.

SkillsCast

At this month's Full Stack Quants, Markus Schanta will give a presentation about Vega, a framework for interactive visualisation. Don't miss it!

The talk will include a step-by-step tutorial for creating production-quality visualisations. Markus will also give an overview of related libraries and tools that you can use to create plots more easily.

The talk does not require extensive knowledge of Javascript or Python. It aims to provide useful information for beginners as well as people who are already familiar with these visualisation frameworks.

The slides and examples will be published live on GitHub.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Vega – A Grammar of Interactive Graphics

Markus Schanta

Markus Schanta is a data scientist with professional experience working for large hedge funds and investment banks. He uses mathematics, statistics and computer science to turn data into actionable insights. Originally from Austria, he holds a BSc from the Vienna University of Technology and an MS in Machine Learning from Columbia University in New York where he had been awarded a Fulbright Scholarship.