dataset · 2023
smallsets: Visual Documentation for Data Preprocessing
Cited by 0Open access
Abstract
Data practitioners regularly use the 'R' and 'Python' programming languages to prepare data for analyses. Thus, they encode important data preprocessing decisions in 'R' and 'Python' code. The 'smallsets' package subsequently decodes these decisions into a Smallset Timeline, a static, compact visualisation of data preprocessing decisions (Lucchesi et al. (2022) <<a href="https://doi.org/10.1145%2F3531146.3533175" target="_top">doi:10.1145/3531146.3533175</a>>). The visualisation consists of small data snapshots of different preprocessing steps. The 'smallsets' package builds this visualisation from a user's dataset and preprocessing code located in an 'R', 'R Markdown', 'Python', or 'Jupyter Notebook' file. Users simply add structured comments with snapshot instructions to the preprocessing code. One optional feature in 'smallsets' requires installation of the 'Gurobi' optimisation software and 'gurobi' 'R' package, available from <<a href="https://www.gurobi.com" target="_top">https://www.gurobi.com</a>>. More information regarding the optional feature and 'gurobi' installation can be found in the 'smallsets' vignette.
Cite this paper
Lucchesi, L. R. (2023). smallsets: Visual Documentation for Data Preprocessing. https://doi.org/10.32614/cran.package.smallsets
Lucchesi, Lydia R. “smallsets: Visual Documentation for Data Preprocessing.” 2023, https://doi.org/10.32614/cran.package.smallsets.
Lucchesi, Lydia R. 2023. “smallsets: Visual Documentation for Data Preprocessing.” https://doi.org/10.32614/cran.package.smallsets.
Lucchesi, L.R. (2023) ‘smallsets: Visual Documentation for Data Preprocessing’. Available at: https://doi.org/10.32614/cran.package.smallsets.
@misc{lucchesi2023smallsets,
title = {{smallsets: Visual Documentation for Data Preprocessing}},
author = {Lucchesi, Lydia R},
year = {2023},
doi = {10.32614/cran.package.smallsets}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.