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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.
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")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.