In pearsonplc/vispear: A package facilitating data visualisation using Pearson branding

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

Overview

vispear package belongs to the pearsonverse - a set of packages which facilitates the data science process in R. The main goal of this package is to support teams via creating visualisation with standardised and coherent layout. It was built mainly to cooperate with such packages as ggplot2 and DT.

Installation

First install pearsonverse package. It will install all *pear packages.

devtools::install_github("pearsonplc/pearsonverse")

However, if you want to install just vispear package:

devtools::install_github("pearsonplc/vispear")

Main functions

1. theme_enr()
2. save_plot() & save_plot2()
3. get_html_data() + datatable_enr()
4. show_enr_palettes()

Goals

library(vispear)
library(ggplot2)

1. Creating visualisation with standardised and coherent layout

1.1 theme_enr()

A function which implements a coherent layout to visualisation created by ggplot2 package.

Basic layout

ggplot(mtcars, aes(qsec, mpg, color = factor(cyl))) + 
  geom_point(size = 5)

Defined layout

ggplot(mtcars, aes(qsec, mpg, color = factor(cyl))) + 
  geom_point() +
  theme_enr(color = p_colors)

1.2 save_plot() & save_plot2()

A pair of functions which allows to save graphs into a file. By default, save_plot saves plot in .png file, and save_plot2 creates two files i.e. in .png and .pdf extensions.

1.3 get_html_data() + datatable_enr()

A pair of functions which allows to create interactive table with coherent layout. It's really useful when you want to add a table in the report. More info here.

1.4 show_enr_palettes()

A function which lists all available defined palettes.

palette_list <- lapply(vispear::show_enr_palettes(), attributes)
data.frame( palette_name = names(palette_list), description = unlist(unname(palette_list)))

pearsonplc/vispear documentation built on May 30, 2019, 3:45 p.m.