# Install packages
if (!requireNamespace("streamgraph", quietly = TRUE)) {
install_github("hrbrmstr/streamgraph")
}
# Load packages
library(streamgraph)
Streamgraph
Note
Hiplot website
This page is the tutorial for source code version of the Hiplot Streamgraph
plugin. You can also use the Hiplot website to achieve no code ploting. For more information please see the following link:
Setup
System Requirements: Cross-platform (Linux/MacOS/Windows)
Programming language: R
Dependent packages:
streamgraph
Data Preparation
# Load data
<- read.delim("files/Hiplot/168-streamgraph-data.txt", header = T)
data
# convert data structure
colnames(data) <- c("date","key","value")
# View data
head(data)
date key value
1 1990 a 0.7688
2 1990 b 0.5782
3 1990 c 0.8164
4 1990 d 0.4791
5 1990 e 0.8793
6 1990 f 0.4640
Visualization
# Streamgraph
<- streamgraph(data, key = "key", value = "value", date = "date",
p offset = "silhouette", interpolate = "cardinal",
interactive = F, scale = "date") %>%
sg_fill_brewer(palette = "Spectral")
p