Package: correlationfunnel 0.2.0
Matt Dancho
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>.
Authors:
correlationfunnel_0.2.0.tar.gz
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correlationfunnel.pdf |correlationfunnel.html✨
correlationfunnel/json (API)
NEWS
| # Install 'correlationfunnel' in R: |
| install.packages('correlationfunnel', repos = c('https://business-science.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/business-science/correlationfunnel/issues
Pkgdown site:https://business-science.github.io
- customer_churn_tbl - Customer Churn Data Set for a Telecommunications Company
- marketing_campaign_tbl - Marketing Data for a Bank
correlationexploratory-analysisexploratory-data-analysisexploratory-data-visualizationstidyverse
Last updated 1 years agofrom:e592ef37ff. Checks:1 OK, 7 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 09 2025 |
| R-4.5-win | NOTE | Feb 09 2025 |
| R-4.5-mac | NOTE | Feb 09 2025 |
| R-4.5-linux | NOTE | Feb 09 2025 |
| R-4.4-win | NOTE | Feb 09 2025 |
| R-4.4-mac | NOTE | Feb 09 2025 |
| R-4.3-win | NOTE | Feb 09 2025 |
| R-4.3-mac | NOTE | Feb 09 2025 |
Exports:%>%binarizecorrelateplot_correlation_funnel
Dependencies:askpassbase64encbslibcachemclasscliclockcodetoolscolorspacecpp11crayoncrosstalkcurldata.tablediagramdigestdplyrevaluatefansifarverfastmapfontawesomeforcatsfsfuturefuture.applygenericsggplot2ggrepelglobalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttripredisobandjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalazyevallifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetnumDerivopensslparallellypillarpkgconfigplotlyprodlimprogressrpromisespurrrR6rappdirsRColorBrewerRcpprecipesrlangrmarkdownrpartrstudioapisassscalesshapesparsevctrsSQUAREMstringistringrsurvivalsystibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunyaml
Introducing Correlation Funnel - Customer Churn Example
Rendered fromintroducing_correlation_funnel.Rmdusingknitr::rmarkdownon Feb 09 2025.Last update: 2020-06-09
Started: 2019-07-16
Methodology, Key Considerations, and FAQs
Rendered fromkey_considerations.Rmdusingknitr::rmarkdownon Feb 09 2025.Last update: 2020-06-09
Started: 2019-07-16
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Turn data with numeric, categorical features into binary data. | binarize |
| Correlate a response (target) to features in a data set. | correlate |
| Customer Churn Data Set for a Telecommunications Company | customer_churn_tbl |
| Marketing Data for a Bank | marketing_campaign_tbl |
| Plot a Correlation Funnel | plot_correlation_funnel |
