Visualise Correlations

An investigative tool designed to help users visualize correlations between variables in their datasets. This package aims to provide an easy and effective way to explore and visualize these correlations, making it easier to interpret and communicate results.


corrViz

corrViz is an R package designed to help users visualize correlations between variables in their datasets. With the ever-growing size and complexity of datasets, it is crucial to have a clear understanding of the relationships between variables. This package aims to provide an easy and effective way to explore and visualize these correlations, making it easier to interpret and communicate results. A demonstration of the package can be found here: https://alaninglis.github.io/corrViz/articles/corrViz.html

Download the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("AlanInglis/corrViz")

You can then load the package with:

library(corrViz)

Visualization Methods

The corrViz package offers several visualization methods to help you explore and communicate correlations effectively, with an emphasis on interactivity. Some of the available methods include:

  • Heatmaps
  • Networks
  • Shiny applications
  • Scatterplot matrices
  • Bar plots
  • Chord diagrams
  • and more!!

Reference manual

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install.packages("corrViz")

0.1.0 by Alan Inglis, 3 years ago


Browse source code at https://github.com/cran/corrViz


Authors: Alan Inglis


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ggplot2, stats, grDevices, visNetwork, plotly, DendSer, gganimate, igraph, ggraph, circlize, GGally, purrr, shiny

Suggests knitr, rmarkdown, scales, gifski


See at CRAN