A Practical Workflow for Health Data Wrangling
Overview
Provides a streamlined workflow for cleaning, transforming, filtering, aggregating, and exporting epidemiological line list data. The package is designed for public health surveillance and clinical datasets where each row represents an individual case. It supports common data-wrangling tasks and multi-format data import/export (e.g., 'csv', 'rds', 'xlsx', 'json', 'dbf'). The functions are designed to be combined into a clear and reproducible pipeline while remaining flexible enough for use in standalone data-processing steps. 'data4health' is part of the '4health' toolkit, which integrates health, climate, land-use, and socioeconomic data workflows. More information on the '4health' tools can be found on the HARMONIZE website https://harmonize-tools.org/toolkits.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK8 OK2026-07-08
Documentation
- Help pages
- 9 (1 internal)includes a package overview page
- Examples that run
- 86%6 run in a plain check (1 of them under a condition) · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against gitlab.earth.bsc.es/ghr/data4health on 2026-10-21.
Dependencies
Installing data4health adds 83 packages (43 with compiled code, 81 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
- 0.1.1Latest2026-07-07 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-07
- Total releases
- 1 / 1 yrs
- License
- AGPL (>= 3) OSI
- Minimum R
- ≥ 4.2.0
- Bundled data
- 4.5 KB / 1 file
- Download size
- 1.9 MB
Cite
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Run in R for the authors' preferred citation:
citation("data4health")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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