cxplot is wrapper for CanvasXpress. This library implements the grammar of the R ggplot2 package written completely in Javascript. Please beware that these pages are not updated often but the library is continuously updated and currently being developed. These pages show just a few examples of the way the library is used. Please report bugs and features request through the github repo https://github.com/neuhausi/canvasxpress
Learn more at canvasxpress.org.
You can install the development version of cxplot from GitHub with:
# install.packages("devtools")
devtools::install_github("neuhausi/cxplot")cxplot is wrapper for CanvasXpress that implements the grammar of the R ggplot2 package written completely in Javascript.
All cxplot plots begin with a call to var cxp = cxplot(), supplying a
DOM target id to place the visualization, a default data and aesthetic
mappings, specified by aes(). You can also supply an additional
parameter with custom events. You then add layers, scales, coords and
facets with cxp.
Like ggplot2, cxplot supports the use of layers to construct plots and aesthetic mappings.
A layer combines data, aesthetic mapping, a geom (geometric object), a
stat (statistical transformation), and a position adjustment. Typically,
you will create layers using a geom_ function, overriding the default
position and stat if needed.
Scales control the details of how data values are translated to visual properties. Override the default scales to tweak details like the axis labels or legend keys, or to use a completely different translation from data to aesthetic. labs() and lims() are convenient helpers for the most common adjustments to the labels and limits.
Facetting generates small multiples, each displaying a different subset of the data. Facets are an alternative to aesthetics for displaying additional discrete variables.
Developed by CanvasXpress
Prerequisites
PHP 7.3.33, MySQL 5.x or higher, Composer install (for PHP dependencies)
You can install xampp and composer for develop backend.
You can install SQL and create new MySQL database. Name of new MySQL database is cxplot. Import cxplot.sql to new database in the MySQL.