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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.
<- tibble::as_data_frame(Titanic)
tit
%>% head() %>% knitr::kable() tit
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()
.
%>% head() %>% knitr::kable() Refugees
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
<- hsv(h = sample(1:10/10), s = sample(3:12)/15, v = sample(3:12)/15)
cols
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:
::install_github("mbojan/alluvial") devtools
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.