A large-scale comparative analysis of Coding Standard conformance in Open-Source Data Science projects

This study investigates the extent to which data science projects follow code standards. In particular, <i>which standards are followed, which are ignored, and how does this differ to traditional software projects?</i> We compare a corpus of 1048 Open-Source Data Science projects to a reference group of 1099 non-Data Science projects with a similar level of quality and maturity.<br><br><b>results.tar.gz</b>: Extracted data for each project, including raw logs of all detected code violations.<br><b>source_code_anonymized.tar.gz</b>: Anonymized source code to identify, clone, and analyse the projects. Also includes Jupyter notebooks used to produce figures in the paper.<br>Paper to appear in ESEM 2020