What are alluvial diagrams? See for example:
Alluvial diagram of datasets::Titanic
data made with alluvial()
. Notice how each category block becomes a stacked barchart showing relative frequency of survivors.
tit <- tibble::as_data_frame(Titanic)
tit %>% head() %>% knitr::kable()
|Class |Sex |Age |Survived | n| |:-----|:------|:-----|:--------|--:| |1st |Male |Child |No | 0| |2nd |Male |Child |No | 0| |3rd |Male |Child |No | 35| |Crew |Male |Child |No | 0| |1st |Female |Child |No | 0| |2nd |Female |Child |No | 0|
alluvial(
select(tit, Survived, Sex, Age, Class),
freq=tit$n,
col = ifelse(tit$Survived == "Yes", "orange", "grey"),
border = ifelse(tit$Survived == "Yes", "orange", "grey"),
layer = tit$Survived != "Yes",
alpha = 0.8,
blocks=FALSE
)
Alluvial diagram for multiple time series / cross-sectional data based on alluvial::Refugees
data made with alluvial_ts()
.
Refugees %>% head() %>% knitr::kable()
|country | year| refugees| |:-----------|----:|--------:| |Afghanistan | 2003| 2136043| |Burundi | 2003| 531637| |Congo DRC | 2003| 453465| |Iraq | 2003| 368580| |Myanmar | 2003| 151384| |Palestine | 2003| 350568|
set.seed(39) # for nice colours
cols <- hsv(h = sample(1:10/10), s = sample(3:12)/15, v = sample(3:12)/15)
alluvial_ts(Refugees, wave = .3, ygap = 5, col = cols, plotdir = 'centred', alpha=.9,
grid = TRUE, grid.lwd = 5, xmargin = 0.2, lab.cex = .7, xlab = '',
ylab = '', border = NA, axis.cex = .8, leg.cex = .7,
leg.col='white',
title = "UNHCR-recognised refugees\nTop 10 countries (2003-13)\n")
Using "devtools" package:
devtools::install_github("mbojan/alluvial")
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