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March 31, 2020 23:24
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A simple R ggplot of percent positive of covid cases by USA State.
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| library("ggplot2") | |
| dataUrl <- "https://covidtracking.com/api/states/daily.csv" | |
| c <- read.csv(dataUrl) | |
| c$date <- as.Date(as.character(c$date), format = "%Y%m%d") | |
| c_tmp <- c[order(c[c$date == max(c$date), ]$total, decreasing = TRUE), ] | |
| states <- c_tmp[c_tmp$date == max(c_tmp$date), ]$state[1:10] | |
| c[is.na(c$pending), ]$pending <- 0 | |
| c$ratio <- (c$positive / (c$total - c$pending)) | |
| c <- c[c$state %in% states, ] | |
| g <- ggplot(c, aes(x = date, y = ratio)) | |
| g <- g + labs(title = "Percent of COVID-19 Positive Cases Out of Total Tested", | |
| subtitle = "(Top 10 states with the most tests conducted)", | |
| caption = "Pending Tests Excluded.") | |
| g <- g + xlab("Date") + ylab("Percent Tested Positive") | |
| g <- g + geom_line(aes(color = state)) | |
| g <- g + geom_label(aes(fill = factor(state), label = state), | |
| position = position_jitter(width = .2, height = 0.01), | |
| colour = "white", | |
| size = 2) | |
| g <- g + scale_y_continuous(labels = function(x) { | |
| paste(round(x * 100), "%", sep = "") | |
| }) | |
| g <- g + theme(legend.position = "none") | |
| (g) | |
| ## ggsave("covid.png") |
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Downloads live data at runtime and makes a chart like this.
