Plot.ly has a tutorial on this for Python:
# Add original data
x=['Winter', 'Spring', 'Summer', 'Fall']
y0_org=[40, 80, 30, 10]
y1_org=[20, 10, 10, 10]
y2_org=[40, 10, 60, 80]
# Add data to create cumulative stacked values
y0_stck=y0_org
y1_stck=[y0+y1 for y0, y1 in zip(y0_org, y1_org)]
y2_stck=[y0+y1+y2 for y0, y1, y2 in zip(y0_org, y1_org, y2_org)]
R doesn't seem to have any similar tutorial. I tried to play with the filled area plot tutorial for R, but failed to build a stacked plot.
library(plotly)
p <- plot_ly(x = c(1, 2, 3, 4), y = c(0, 2, 3, 5), fill = "tozeroy")
add_trace(p, x = c(1, 2, 3, 4), y = c(3, 5, 1, 7), fill = "tonexty")
How can I replicate the code above in R/ Plot.ly to create a stacked area chart? Thanks a lot!
This is how I got it:
library(plotly)
x <- c('Winter', 'Spring', 'Summer', 'Fall')
y0 <- c(40, 80, 30, 10)
y1 <- c(20, 10, 10, 10)
y2 <- c(40, 10, 60, 80)
y1 <- y0 + y1
y2 <- y1 + y2
p <- ggplot() +
geom_area(aes(x, y2, fill = 'green')) +
geom_area(aes(x, y1, fill = 'blue')) +
geom_area(aes(x, y0, fill = 'red'))
ggplotly(p)