<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Speed Up Exploratory Data Analysis (EDA) with the Correlation
Funnel</dc:title>
  <dc:title>R package correlationfunnel version 0.2.0</dc:title>
  <dc:description>
    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) &lt;doi:10.1145/2637484&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1)</dc:relation>
  <dc:relation>Imports: ggplot2, rlang, recipes, magrittr, plotly, tibble, dplyr (&gt;=
1.0.0), tidyr (&gt;= 1.0.0), stats, utils, ggrepel, stringr,
forcats, purrr, cli, crayon, rstudioapi</dc:relation>
  <dc:relation>Suggests: scales, knitr, rmarkdown, covr, lubridate, testthat (&gt;=
2.1.0)</dc:relation>
  <dc:creator>Matt Dancho &lt;mdancho@business-science.io&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Matt Dancho [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=correlationfunnel/LICENSE)</dc:rights>
  <dc:date>2020-06-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=correlationfunnel</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.correlationfunnel</dc:identifier>
</oai_dc:dc>
