Workflow Analysis of Data Science Code in PublicGitHub Repositories

This contains supplementary files for a scientific article. It includes a dataset (f_DASWOW.pkl) consisting of data science code snippets extracted from Jupyter notebook cells, each annotated with the data science step it performs. The repository also includes a set of analyses aimed at understanding the data science implementation life cycle. 
The DASWOW dataset file (f_DASWOW.pkl) is located in the `data-science-code-analysis/features/` directory. The exact filenames of the notebooks used are included in the dataset under the `filename` column. 
The 470 Jupyter notebooks used in the DASWOW dataset (curated from the original ~1M collection by rule et. al) can be accessed at https://doi.org/10.5281/zenodo.17638924 (DASWOW Jupyter Notebooks Subset)

*The version v.0.2.0 contains the additional analyses like anti pattern analysis.