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README.md
waffle
Create Waffle Chart Visualizations
Description
Square pie charts (a.k.a. waffle charts) can be used to communicate parts of a whole for categorical quantities. To emulate the percentage view of a pie chart, a 10x10 grid should be used with each square representing 1% of the total. Modern uses of waffle charts do not necessarily adhere to this rule and can be created with a grid of any rectangular shape. Best practices suggest keeping the number of categories small, just as should be done when creating pie charts. Tools are provided to create waffle charts as well as stitch them together, and to use glyphs for making isotype pictograms.
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 thewaffle
pad
parameter)fa_grep
: Search FontAwesome names for a pattern- `fa_list: List all FontAwesome names
Installation
install.packages("waffle")
Usage
library(waffle)
# current verison
packageVersion("waffle")
## [1] '0.9.0'
Basic example
parts <- c(80, 30, 20, 10)
waffle(parts, rows = 8)
Use a data frame
parts <- data.frame(
names = LETTERS[1:4],
vals = 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
Via: https://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)
More replication
Similar to 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)
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
) -> A
pine.adult.1997 <- c(`YOY (221)` = 221, `Adult (143)` = 143)
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
) -> B
stan.adult.1997 <- c(`YOY (270)` = 270, `Adult (197)` = 197)
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"
) -> C
iron(A, B, C)
Code of Conduct
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.