The R platform has made the world of data analysis and performance more approachable, and R has become an important tool for computational statistics and data visualization. With Microsoft’s acquisition of Revolution Analytics, it’s also now a part of the Azure family.
Using the GitHub Archive and event-based commits datasets, Barbara Fusinska demonstrates how to use R to turn application data into useful business insights. Barbara uncovers interesting trends in certain languages at specific points of time: the records offer conclusions as to why some repositories are more popular than others. You’ll leave understanding how you can apply R for your own applications and develop intuition about your own datasets, allowing you to turn unstructured data into information that you can monetize.
Barbara is a Data Scientist with strong software development background. While working with a variety of different companies, she gained experience in building diverse software systems. This experience brought her focus to the Data Science and Big Data field. She believes in the importance of the data and metrics when growing a successful business.
Alongside collaborating around data architectures, Barbara still enjoys programming activities. Currently speaking at conferences in-between working in London. Tweets at @BasiaFusinska and blogs on http://barbarafusinska.com.
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