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:Matt Dancho [aut, cre]

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

Datasets:

customer_churn_tbl - Customer Churn Data Set for a Telecommunications Company
marketing_campaign_tbl - Marketing Data for a Bank

On CRAN:

correlation exploratory-analysis exploratory-data-analysis exploratory-data-visualizations tidyverse

7.15 score 132 stars 108 scripts 502 downloads 4 exports 101 dependencies

Last updated 10 months agofrom:e592ef37ff. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 11 2024
R-4.5-win	NOTE	Nov 11 2024
R-4.5-linux	NOTE	Nov 11 2024
R-4.4-win	NOTE	Nov 11 2024
R-4.4-mac	NOTE	Nov 11 2024
R-4.3-win	NOTE	Nov 11 2024
R-4.3-mac	NOTE	Nov 11 2024

Exports:%>%binarize correlate plot_correlation_funnel

Dependencies:askpass base64enc bslib cachem class cli clock codetools colorspace cpp11 crayon crosstalk curl data.table diagram digest dplyr evaluate fansi farver fastmap fontawesome forcats fs future future.apply generics ggplot2 ggrepel globals glue gower gtable hardhat highr htmltools htmlwidgets httr ipred isoband jquerylib jsonlite KernSmooth knitr labeling later lattice lava lazyeval lifecycle listenv lubridate magrittr MASS Matrix memoise mgcv mime munsell nlme nnet numDeriv openssl parallelly pillar pkgconfig plotly prodlim progressr promises purrr R6 rappdirs RColorBrewer Rcpp recipes rlang rmarkdown rpart rstudioapi sass scales shape SQUAREM stringi stringr survival sys tibble tidyr tidyselect timechange timeDate tinytex tzdb utf8 vctrs viridisLite withr xfun yaml

Introducing Correlation Funnel - Customer Churn Example

Rendered fromintroducing_correlation_funnel.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2020-06-09
Started: 2019-07-16

Methodology, Key Considerations, and FAQs

Rendered fromkey_considerations.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2020-06-09
Started: 2019-07-16

Citation

Development and contributors

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