# sfirke/janitor

simple tools for data cleaning in R

Repository: https://github.com/sfirke/janitor
Canonical: https://ross.abutalabs.com/products/janitor
Homepage: http://sfirke.github.io/janitor/
Language: R
License: NOASSERTION
License Family: other
Topics: data-cleaning, data-science, data-analysis, r, pivot-tables, dirty-data, tabulations, spss, excel, tidyverse
Last push: 2024-12-23T14:20:04+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3795, "days_push": 618, "days_rel": 619, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1455, forks 133 (observed 2026-08-28T04:04:46.841325+00:00)

## What it is
janitor is an R package with simple, user-friendly functions for examining and cleaning dirty data, such as formatting data.frame column names and creating frequency (crosstab) tables. It is tidyverse-oriented and designed for beginning and intermediate R users.

## Use cases
- clean messy column names in a dataframe
- make crosstabs and frequency tables in R
- remove empty rows and columns from a spreadsheet import
- find duplicate rows in a data frame
- replace Excel-style dates from readxl imports
- compare column names across multiple data frames
- reproduce SPSS or Excel tabulation output in R

## When to choose
- you work in R with tidyverse and need quick data-cleaning helpers
- you import dirty data from Excel or CSV and want tidy column names and tables
- you want beginner-friendly functions for tabulating and exploring data frames

## When to avoid
- you need a full ETL or data-validation framework with declarative rules
- you are not working in R
- you need high-performance processing of datasets beyond memory

## Facets
- artifact type: library
- maturity: stable
- function: data-science, etl
- domain: data-science, developer-tools
- platform: -
- tags: data-cleaning, tidyverse, frequency-tables, excel, spss, dirty-data, column-names, tabulation, data-engineering, r

## Member repositories
- sfirke/janitor (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:46.841325+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:35:39.991881+00:00, confidence not recorded.
  - readme: https://github.com/sfirke/janitor (fetched 2026-08-28T04:04:46.841325+00:00, sha 745b9d96aa60)
  - homepage: http://sfirke.github.io/janitor/ (fetched 2026-08-29T11:44:46.489110+00:00, sha 934b65a49a32)
- Data as of 2026-08-30T08:39:29.467469+00:00.