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Analysing GitHub commits with R

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Analysing GitHub commits with R
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133
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CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
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R platform has made the world of data analysis and performance more approachable. It has become an important tool for computational statistics and data visualization. With Microsoft acquiring Revolution Analytics it's also now a part of the Azure family. In this talk Barbara will show how you can use R to turn application data into useful business insights. As the source of data Barbara will use Github Archive, event based commits datasets. She will ask question which languages had interesting trends at specific points of time. The records reveal interesting conclusions about why particular repositories are more popular than others. At the end, attendees will understand how they can apply R for their own application. The language will help them develop intuition about their own data sets. This could allow them to turn unstructured data into information that they could monetize.