Stacking
is a process where a chart is broken up across
more than one categoric variables which make up the whole. Each item of
the categoric variable is represented by a shaded area. These areas are
stacked on top of one another.
Here is an example with a stacked area chart. It shows the evolution of baby name occurence in the US between 1880 and 2015. Six first names are represented on top of one another.
# Libraries
library(tidyverse)
library(babynames)
library(streamgraph)
library(viridis)
library(hrbrthemes)
library(plotly)
# Load dataset from github
data <- babynames %>%
filter(name %in% c("Amanda", "Jessica", "Patricia", "Deborah", "Dorothy", "Helen")) %>%
filter(sex=="F")
# Plot
p <- data %>%
ggplot( aes(x=year, y=n, fill=name, text=name)) +
geom_area( ) +
scale_fill_viridis(discrete = TRUE) +
theme(legend.position="none") +
ggtitle("Popularity of American names in the previous 30 years") +
theme_ipsum() +
theme(legend.position="none")
ggplotly(p, tooltip="text")