Interactive stacked area chart with R and plotly


The plotly package allows to build interactive charts directly from R. Here is a application to stacked area chart, using both the plot_ly() and ggplotly() functions.

Stacked area section Data to Viz

Using the ggplotly() function

This post follows the previous basic stacked area chart built with ggplot2.

The idea is to turn the chart interactive:

  • You can zoom by selecting an area of interest
  • Hover the line to get exact time and value
  • Export to png
  • Slide axis
  • Double click to re-initialize.

This is done thanks to the ggplotly() function of the plotly package that turn any ggplot2 chart object interactive. 

# Libraries
library(ggplot2)
library(dplyr)
library(babynames)
library(viridis)
library(hrbrthemes)
library(plotly)

# Load dataset from github
data <- babynames %>% 
  filter(name %in% c("Ashley", "Amanda", "Jessica",    "Patricia", "Linda", "Deborah",   "Dorothy", "Betty", "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")

# Turn it interactive
p <- ggplotly(p, tooltip="text")
p

# save the widget
# library(htmlwidgets)
# saveWidget(p, file=paste0( getwd(), "/HtmlWidget/ggplotlyStackedareachart.html"))

Related chart types
Scatter
Heatmap
Correlogram
Bubble
Connected scatter
Density 2d



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