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DESCRIPTION
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DESCRIPTION
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Package: smallsets
Title: Visual Documentation for Data Preprocessing
Version: 2.0.0
Authors@R: c(person(given = "Lydia R.", family = "Lucchesi", role = c("aut", "cre"),
email = "Lydia.Lucchesi@anu.edu.au", comment = c(ORCID = "0000-0002-1901-4301")),
person(given = "Petra M.", family = "Kuhnert", role = "ths"),
person(given = "Jenny L.", family = "Davis", role = "ths"),
person(given = "Lexing", family = "Xie", role = "ths"))
Maintainer: Lydia R. Lucchesi <Lydia.Lucchesi@anu.edu.au>
Description: 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) <doi:10.1145/3531146.3533175>). 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 <https://www.gurobi.com>. More information regarding the optional feature and
'gurobi' installation can be found in the 'smallsets' vignette.
URL: https://lydialucchesi.github.io/smallsets/, https://github.com/lydialucchesi/smallsets
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.2.3
Depends:
R (>= 3.5.0)
Imports:
callr,
colorspace,
flextable,
ggplot2,
ggtext,
knitr,
patchwork,
plotrix,
reticulate,
rmarkdown
Suggests:
gurobi,
testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3