CRAN/E | smallsets

smallsets

Visual Documentation for Data Preprocessing

Installation

About

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 . More information regarding the optional feature and 'gurobi' installation can be found in the 'smallsets' vignette.

lydialucchesi.github.io/smallsets/
github.com/lydialucchesi/smallsets

Key Metrics

Version 2.0.0
R ≥ 3.5.0
Published 2023-12-05 115 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks smallsets results

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Maintainer

Maintainer

Lydia R. Lucchesi

Lydia.Lucchesi@anu.edu.au

Authors

Lydia R. Lucchesi

aut / cre

Petra M. Kuhnert

ths

Jenny L. Davis

ths

Lexing Xie

ths

Material

README
NEWS
Reference manual
Package source

Vignettes

smallsets User Guide

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

smallsets archive

Depends

R ≥ 3.5.0

Imports

callr
colorspace
flextable
ggplot2
ggtext
knitr
patchwork
plotrix
reticulate
rmarkdown

Suggests

gurobi
testthat ≥ 3.0.0