waffle is a package to make waffle charts (square pie charts)
It uses ggplot2 and returns a ggplot2 object.
The following functions are implemented:
waffle: make a waffle chart ggplot2 objectiron: vertically stitch together multiple waffle plots, left-aligning edges (best if used with thewafflepadparameter)
- Version
0.6.0- keep factor levels; improve default aesthetics - Version
0.5.1released - even moar improved ggplot2 compatibility - Version
0.5released - new & improved ggplot2 compatibility - Version
0.4released - addeduse_glyphandglyph_sizetowaffleso you can now make isotype pictograms - Version
0.3released - added apadparameter towaffleto make it easier to align plots; addedironto make it easier to do the alignment - Version
0.2.3released - nulled many margins and made the use ofcoord_equaloptional via theequalparameter - Version
0.2.1released - added Travis tests to ensure independent package build confirmation - Version
0.2released - addedas_rcdimplethx to Kent Russell (only in non-CRAN version) - Version
0.1released
install.packages("waffle")library(waffle)
# current verison
packageVersion("waffle")
## [1] '0.6.0'
# basic example
parts <- c(80, 30, 20, 10)waffle(parts, rows=8)
# slightly more complex example
parts <- c(`Un-breached\nUS Population`=(318-11-79), `Premera`=11, `Anthem`=79)waffle(parts, rows=8, size=1, colors=c("#969696", "#1879bf", "#009bda")) +
theme(legend.position="bottom")Health records breaches as fraction of US Population 
One square == 1m ppl
waffle(parts/10, rows=3, colors=c("#969696", "#1879bf", "#009bda")) Health records breaches as fraction of US Population 
(One square == 10m ppl)
library(extrafont)
waffle(parts/10, rows=3, colors=c("#969696", "#1879bf", "#009bda"),
use_glyph="medkit", size=8)
# replicating an old favourite
# http://graphics8.nytimes.com/images/2008/07/20/business/20debtgraphic.jpg
# http://www.nytimes.com/2008/07/20/business/20debt.html
savings <- c(`Mortgage\n($84,911)`=84911, `Auto and\ntuition loans\n($14,414)`=14414,
`Home equity loans\n($10,062)`=10062, `Credit Cards\n($8,565)`=8565)waffle(savings/392, rows=7, size=0.5,
colors=c("#c7d4b6", "#a3aabd", "#a0d0de", "#97b5cf")) +
theme(legend.position="bottom")Average Household Savings Each Year 
(1 square == $392)
# similar to but not exact
# https://eagereyes.org/techniques/square-pie-charts
professional <- c(`Male`=44, `Female (56%)`=56)waffle(professional, rows=10, size=0.5, colors=c("#af9139", "#544616"))gridExtra::grid.arrange(
waffle(c(thing1=0, thing2=100), rows=5),
waffle(c(thing1=25, thing2=75), rows=5)
)
Professional Workforce Makeup
Iron example (left-align & padding for multiple plots)
pain.adult.1997 <- c( `YOY (406)`=406, `Adult (24)`=24)
A <- waffle(pain.adult.1997/2, rows=7, size=0.5,
colors=c("#c7d4b6", "#a3aabd"),
title="Paine Run Brook Trout Abundance (1997)",
xlab="1 square = 2 fish", pad=3)
pine.adult.1997 <- c( `YOY (221)`=221, `Adult (143)`=143)
B <- waffle(pine.adult.1997/2, rows=7, size=0.5,
colors=c("#c7d4b6", "#a3aabd"),
title="Piney River Brook Trout Abundance (1997)",
xlab="1 square = 2 fish", pad=8)
stan.adult.1997 <- c( `YOY (270)`=270, `Adult (197)`=197)
C <- waffle(stan.adult.1997/2, rows=7, size=0.5,
colors=c("#c7d4b6", "#a3aabd"),
title="Staunton River Trout Abundance (1997)",
xlab="1 square = 2 fish")
iron(A, B, C)
library(waffle)
library(testthat)
date()
## [1] "Sun Sep 18 10:40:27 2016"
test_dir("tests/")
## testthat results ========================================================================================================
## OK: 1 SKIPPED: 0 FAILED: 0
##
## DONE ===================================================================================================================
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