# Radial Stacked Area Chart in R using Plotly

[This article was first published on

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

**R – Modern Data**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

In this post we’ll quickly show how to create radial stacked ara charts in plotly. We’ll use the `AirPassengers`

dataset.

Inspired by Mike Bostocks post: http://bl.ocks.org/mbostock/3048740

#devtools::install_github("ropensci/plotly") library(plotly) library(zoo) library(data.table) # Load Airpassengers data set data("AirPassengers") # Create data frame with year and month AirPassengers <- zoo(coredata(AirPassengers), order.by = as.yearmon(index(AirPassengers))) df <- data.frame(month = format(index(AirPassengers), "%b"), year = format(index(AirPassengers), "%Y"), value = coredata(AirPassengers)) # Get coordinates for plotting #Angles for each month nMonths <- length(unique(df$month)) theta <- seq(0, 2*pi, by = (2*pi)/nMonths)[-(nMonths+1)] # Append these angles to the data frame df$theta <- rep(theta, nMonths) # Cumulatively sum number of passgengers dt <- as.data.table(df) dt[,cumvalue := cumsum(value), by = month] df <- as.data.frame(dt) # Cartesian coordinates (x, y) space will be value*cos(theta) and value*sin(theta) df$x <- df$cumvalue * cos(df$theta) df$y <- df$cumvalue * sin(df$theta) # Create hovertext df$hovertext <- paste("Year:", df$year, "

", "Month:", df$month, "

", "Passegers:", df$value) # Repeat January values ddf <- data.frame() for(i in unique(df$year)){ temp <- subset(df, year == i) temp <- rbind(temp, temp[1,]) ddf <- rbind(ddf, temp) } df <- ddf # Plot colorramp <- colorRampPalette(c("#bfbfbf", "#f2f2f2")) cols <- colorramp(12) cols <- rep(c("#e6e6e6", "#f2f2f2"), 6) linecolor <- "#737373" p <- plot_ly(subset(df, year == 1949), x = ~x, y = ~y, hoverinfo = "text", text = ~hovertext, type = "scatter", mode = "lines", line = list(shape = "spline", color = linecolor)) k <- 2 for(i in unique(df$year)[-1]){ p <- add_trace(p, data = subset(df, year == i), x = ~x, y = ~y, hoverinfo = "text", text = ~hovertext, type = "scatter", mode = "lines", line = list(shape = "spline", color = linecolor), fillcolor = cols[k], fill = "tonexty") k <- k + 1 } start <- 100 end <- 4350 axisdf <- data.frame(x = start*cos(theta), y = start*sin(theta), xend = end*cos(theta), yend = end*sin(theta)) p <- add_segments(p = p, data = axisdf, x = ~x, y = ~y, xend = ~xend, yend = ~yend, inherit = F, line = list(dash = "8px", color = "#737373", width = 4), opacity = 0.7) p <- add_text(p, x = (end + 200)*cos(theta), y = (end + 200)*sin(theta), text = unique(df$month), inherit = F, textfont = list(color = "black", size = 18)) p <- layout(p, showlegend = F, title = "Radial Stacked Area Chart", xaxis = list(showgrid = F, zeroline = F, showticklabels = F, domain = c(0.25, 0.80)), yaxis = list(showgrid = F, zeroline = F, showticklabels = F), length = 1024, height = 600) p

Radial Stacked Area Chart

To

**leave a comment**for the author, please follow the link and comment on their blog:**R – Modern Data**.R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.