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@nicokosi nicokosi/strava-charts.r
Last active Apr 17, 2017

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R code that generates charts from Strava API (http://strava.github.io/api/v3/activities/)
library(rjson)
library(httr)
library(ggplot2)
library(scales)
if (interactive()) {
token <- readline(prompt="Enter Strava access token: ")
activities <- GET("https://www.strava.com/", path = "api/v3/activities",
query = list(access_token = token, per_page = 200))
activities <- content(activities, "text")
activities <- fromJSON(activities)
activities <- lapply(activities, function(x) {
x[sapply(x, is.null)] <- NA
unlist(x)
})
df <- data.frame(do.call("rbind", activities))
df$distance <- as.numeric(as.character(df$distance)) / 1000 # m -> km
df$moving_time <- as.numeric(as.character(df$moving_time)) / 60 # s -> m
df$start_date <- as.Date(df$start_date) # yyyy-mm-dd
df$average_speed <- as.numeric(as.character(df$average_speed)) * 3.6 # m/s -> km/h
ggplot(df, aes(x=distance, y=moving_time)) +
geom_point(size=1, aes(colour = type)) +
geom_smooth(method=lm, aes(colour = type)) +
xlab("distance per activity (kilometers)") +
ylab("moving time (minutes)")
ggsave("/tmp/moving-time.png")
ggplot(df, aes(x=start_date, y=average_speed)) +
geom_point(size=1, aes(colour = type)) +
scale_x_date(labels = date_format("%Y-%m-%d")) +
xlab("date") +
ylab("average speed (kilometers per hour)")
ggsave("/tmp/speed.png")
} else
writeLines("Non interactive session, giving up")
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