500k top Airbnb trips: created in R with ggplot2
A few people asked for a high-resolution image and the code that I used to generate the ggplot2 visualization on my recent Medium post "Using R Packages and Education to Scale Data Sience at Airbnb".
High-res image:
Link to high-res image for download
R code:
library(ggplot2)
library(ggmap)
library(sp)
library(grid)
library(geosphere)
library(plyr)# source the theme_map for ggplot2
source("https://github.com/ricardo-bion/medium_visualization/blob/master/theme_map.R")
# in the original post I had a data.frame with 500k rows of top origin destination pairs
trips <- data.frame(origin = c("San Francisco", "Sydney"),
destination = c("Paris", "Tokyo"),
stringsAsFactors = FALSE)
# get lat and lon of cities
trips$geocode_origin <- suppressMessages(geocode(trips$origin))
trips$geocode_destination <- suppressMessages(geocode(trips$destination))
# get intermediate points between the two locations
arch <- gcIntermediate(trips$geocode_origin,
trips$geocode_destination,
n=100,
breakAtDateLine=FALSE,
addStartEnd=TRUE, sp=TRUE)
# http://docs.ggplot2.org/0.9.3.1/fortify.map.html
arch_fortified <- ldply(arch@lines, fortify)
# a few lines of ggplot2 code
ggplot() +
geom_line(aes(long,lat,group=group), data=arch_fortified, alpha=0.1,size=1, colour="skyblue1") +
coord_cartesian(ylim =c(-45, 70), xlim=c(-165, 165)) +
theme_map() +
geom_point(aes(lon, lat),data=trips$geocode_origin, alpha = 0.8, size = 1, colour = "white") +
geom_point(aes(lon, lat),data=trips$geocode_destination, alpha = 0.8, size = 1, colour = "white")
Growth over time:
