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waffle is a package to make waffle charts (square pie charts)

It uses ggplot2 and returns a ggplot2 object.

The following functions are implemented:

Installation

install.packages("waffle")

Usage

library(waffle)

# current verison
packageVersion("waffle")
## [1] '0.7.0'

# 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"), legend_pos="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, legend_pos="bottom",
       colors=c("#c7d4b6", "#a3aabd", "#a0d0de", "#97b5cf"))

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"))

Keeps factor by default levels now

With:

iron(
  waffle(c(thing1=0, thing2=100), rows=5),  
  waffle(c(thing1=25, thing2=75), rows=5)
)

Without (you can disable this via keep parameter now):

iron(
  waffle(c(thing1=0, thing2=100), rows=5, keep=FALSE),  
  waffle(c(thing1=25, thing2=75), rows=5, keep=FALSE)
)

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)

Test Results

library(waffle)
library(testthat)

date()
## [1] "Sat Jan  7 08:05:00 2017"

test_dir("tests/")
## testthat results ========================================================================================================
## OK: 1 SKIPPED: 0 FAILED: 0
## 
## DONE ===================================================================================================================