PLOTCON 2017: Pascal Bugnion, Exploring GitHub with the Scala Plotly client
There are tens of million of repositories on GitHub. Only a small fraction of these become successful. But what factors determine if a project works out? Are there leading indicators of success? In this talk, we use Scala and Plotly to extract metrics on the growth of tens of thousands of repositories to identify leading indicators of success. We explore correlations between numbers of contributors, numbers of downloads and numbers of stars, the quality and length of commit messages and how quickly contributors respond to pull requests.
Beyond the analysis, this talk describes how to build Plotly plots with the Scala Plotly client.
Biography
Pascal is a data engineer at ASI Data Science, a consultancy specializing in data science and analytics. He spends too much of his spare time contributing to open source software, including jupyter-gmaps, a Jupyter plugin for visualizing geographical data on google maps, and, more recently, a Scala client for Plotly. He is the author of 'Scala for Data Science' (Packt publishing)
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