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 |
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 |
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: correlationfunnel_0.2.0.zip, r-release: correlationfunnel_0.2.0.zip, r-oldrel: correlationfunnel_0.2.0.zip |
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 |
Please use the canonical form https://CRAN.R-project.org/package=correlationfunnel to link to this page.