correlationfunnel: Speed Up Exploratory Data Analysis (EDA) with the Correlation Funnel

Speeds up exploratory data analysis (EDA) by providing a succinct workflow and interactive visualization tools for understanding which features have relationships to target (response). Uses binary correlation analysis to determine relationship. Default correlation method is the Pearson method. Lian Duan, W Nick Street, Yanchi Liu, Songhua Xu, and Brook Wu (2014) <doi:10.1145/2637484>.

Version: 0.2.0
Depends: R (≥ 3.1)
Imports: ggplot2, rlang, recipes, magrittr, plotly, tibble, dplyr (≥ 1.0.0), tidyr (≥ 1.0.0), stats, utils, ggrepel, stringr, forcats, purrr, cli, crayon, rstudioapi
Suggests: scales, knitr, rmarkdown, covr, lubridate, testthat (≥ 2.1.0)
Published: 2020-06-09
DOI: 10.32614/CRAN.package.correlationfunnel
Author: Matt Dancho [aut, cre]
Maintainer: Matt Dancho <mdancho at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: correlationfunnel results


Reference manual: correlationfunnel.pdf
Vignettes: Introducing Correlation Funnel
Methodology, Key Considerations, and FAQs


Package source: correlationfunnel_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): correlationfunnel_0.2.0.tgz, r-oldrel (arm64): correlationfunnel_0.2.0.tgz, r-release (x86_64): correlationfunnel_0.2.0.tgz, r-oldrel (x86_64): correlationfunnel_0.2.0.tgz
Old sources: correlationfunnel archive


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