correlationfunnel: Speed Up Exploratory Data Analysis (EDA) with the Correlation Funnel (original) (raw)
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 |
| BugReports: | https://github.com/business-science/correlationfunnel/issues |
| License: | MIT + file |
| URL: | https://github.com/business-science/correlationfunnel |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | correlationfunnel results |
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