Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryGrey literatureConventional

janitor: Simple Tools for Examining and Cleaning Dirty Data (Version 2.2.0) packages/janitor/index.html (2023)

Firke, S. et al

CRAN: Contributed Packages · 2023

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Summary

Janitor is an R package designed to simplify data cleaning and exploratory analysis, providing functions for column name standardisation, frequency table generation, duplicate detection, and result formatting. Built following tidyverse principles and optimised for accessibility to beginning-to-intermediate users, the package facilitates rapid data quality assessment and reporting workflows.

Regional applicability

As a computational tool with no geographic specificity, janitor is applicable across all regions and agricultural research contexts where R-based data analysis is used. UK-based agricultural researchers using R workflows would find this package equally useful for cleaning field trial, soil survey, or production datasets.

Key measures

Package functionality for data cleaning operations; user-friendliness optimisation for beginning-to-intermediate R users

Outcomes reported

The package provides functions for standardising data frame column names, generating frequency tables and crosstabs, detecting duplicate records, and formatting tabulation outputs compatible with tidyverse principles.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Commentary
Study design
Software/tool documentation
Source type
Grey literature
Status
Published
Geography
United Kingdom
System type
Other
DOI
10.32614/cran.package.janitor
Catalogue ID
IRmoq83nfn-f56113

Topic tags

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