Exploratory Data Analysis System
Overview
Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-03-10
Documentation
- Help pages
- 40 (3 internal)includes a package overview page
- Examples that run
- 94%31 run in a plain check (1 of them under a condition) · 2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 92%
- Documented parameters
- 100%
- Return-value docs
- 97%
- Help pages citing references
- 0%
Downloads
Repository
Stars over time
Forks over time
PRs over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/promidat/discover on 2026-10-21.
Dependencies
Installing discoveR adds 169 packages (80 with compiled code, 135 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Maintainer since 1.0.1 (2018)
Show 3 peopleHide 3 people
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 3.1.7Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 3.1.22023-01-20 · diff ↗ ·
removed 8 exports
datos.disyuntivos, dfnormal, e_cor, e_histboxplot, e_histnormal, e_qq, var.categoricas, var.numericasadded 15 exports
e_afcbi, e_afcbi_3D, e_afccol, e_afccol_3D, e_afcmbi, e_afcmbi_3D, e_afcmcat, e_afcmcat_3D, e_afcmind, e_afcmind_3D, e_afcmvar, e_afcmvar_3D, e_afcrow, e_afcrow_3D, e_balloon - RR 4.2.0 released · 2022-04-22
- 2.2.6
- RR 4.1.0 released · 2021-05-18
- 2.2.22021-03-12 · diff ↗ ·
removed 18 exports
hc_cat, hc_horiz, hc_inercia, hc_jambu, hc_mapa, hc_radar, hc_silhouette, hc_vert, hchistboxplot, hchistnormal, hcpcabi, hcpcaind, hcpcavar, hcqq, plotly_mapa, plotly_pcabi, plotly_pcaind, plotly_pcavaradded 18 exports
e_cat, e_histboxplot, e_histnormal, e_horiz, e_inercia, e_jambu, e_mapa, e_mapa_3D, e_pcabi, e_pcabi_3D, e_pcaind, e_pcaind_3D, e_pcavar, e_pcavar_3D, e_qq, e_radar, e_silhouette, e_vert - 2.1.72021-01-27 · diff ↗
- 2.1.62021-01-22 · diff ↗ ·
removed 1 export
init_discoveradded 28 exports
BP, WP, calc.centros, datos.disyuntivos, dfnormal, gg_dendrograma, hc_cat, hc_horiz, hc_inercia, hc_jambu, hc_mapa, hc_radar, hc_silhouette, hc_vert, hchistboxplot, hchistnormal, hcpcabi, hcpcaind, hcpcavar, hcqq, inercia.total, plotly_mapa, plotly_pcabi, plotly_pcaind, plotly_pcavar, run_app, var.categoricas, var.numericas - 1.2.92020-08-03 · diff ↗
- 1.2.82020-07-11 · diff ↗
- 1.2.72020-06-26 · diff ↗
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2018-12-23
- Total releases
- 12 / 8 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.4
- Download size
- 179 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("discoveR")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.