Data Community DC, Washington D.C., DC Videos
Videos by Data Community DC in Washington D.C.. Data Community DC is dedicated to the promotion of data scientists in the Washington DC Metro Area th
Back to Basics: R you markDOWN?
Statistical Programming DC (SPDC)
Back to Basics: R you markDOWN?
RMarkdown allows you to create dynamic reports that interweave (R) code and prose text into a single document. It's come a long way over the years, and can be used for more than literate programming,all while using simple markdown notation. You can make documents,reports, dashboards, presentations, books, and even websites!
We will go "back to the basics," and start from what is markdown andreproducible documents, and move on to show how the "basics" all tie into all the other presentation formats.
About Dan:
Daniel Chen is currently a PhD Student at Virginia Tech in Genetics, Bioinformatics, and Computational Biology. His current area of research involves how ideas and behaviors spread in social networks. He is a Data Scientist with Lander Analytics,
and also serves as a DevOps Engineer in his research lab, the Social and Decision Analytics Laboratory, in Arlington, VA.
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Back to Basics: R you markDOWN?
Statistical Programming DC (SPDC)
Back to Basics: R you markDOWN?
RMarkdown allows you to create dynamic reports that interweave (R) code and prose text into a single document. It's come a long way over the years, and can be used for more than literate programming,all while using simple markdown notation. You can make documents,reports, dashboards, presentations, books, and even websites!
We will go "back to the basics," and start from what is markdown andreproducible documents, and move on to show how the "basics" all tie into all the other presentation formats.
About Dan:
Daniel Chen is currently a PhD Student at Virginia Tech in Genetics, Bioinformatics, and Computational Biology. His current area of research involves how ideas and behaviors spread in social networks. He is a Data Scientist with Lander Analytics,
and also serves as a DevOps Engineer in his research lab, the Social and Decision Analytics Laboratory, in Arlington, VA.
Data Science DC: Fake News as a Data Science Challenge
Fake news - the real kind, not the "I don't like it so I will call it fake news" kind - is news-like content created with the intention of deceiving the reader, and it often is engineered to go viral, with catchy titles that appeal to a reader's bias. Free speech allows it, but combatting it will be a challenge that falls to data scientists who want to keep it off platforms. There are three major aspects of this research that bring their own challenges: how do we collect data about what news is fake and what is real, how do we design machine learning algorithms that can classify it, and how might work on the interface side of things incorporate these insights to stop its spread. This talk will address each of those issues with examples, insights, and challenges for the audience to take home