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 business-science.io> BugReports: https://github.com/business-science/correlationfunnel/issues License: MIT + file LICENSE URL: https://github.com/business-science/correlationfunnel NeedsCompilation: no Materials: README NEWS CRAN checks: correlationfunnel results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=correlationfunnel to link to this page.
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