Little useless-useful R functions – QR-Code Clock
This article is originally published at https://tomaztsql.wordpress.com
Ever wanted to have a clock on the wall or in the office, that is not binary. But it is QR-Code clock 
Well, now you can have it.
This useless R function generates new QR Code for every given period and tells the time. Run this function:
library(qrcode)
while (Sys.time()+1 > Sys.time()){
n_o_w <- paste0("Current time is ",as.character(format(Sys.time(), "%X")))
print(n_o_w)
qr_code(n_o_w, ecl = "M" ) |>
plot()
Sys.sleep(10)
}
The best part would be to get a small screen and a raspberry-pi and have this shown on the screen. Or create your favorite Power BI report with R element and copy paste this code and set to refresh report on given period.
And the QRCodes in the clock are the following time stamps:
[1] "Current time is 18:39:42"
[1] "Current time is 18:39:43"
[1] "Current time is 18:39:44"
[1] "Current time is 18:39:45"
[1] "Current time is 18:39:47"
[1] "Current time is 18:39:48"
[1] "Current time is 18:39:49"
[1] "Current time is 18:39:50"
[1] "Current time is 18:39:51"
[1] "Current time is 18:39:52"
Additional code for creating animation
# creating animation
library(gganimate)
getwd()
setwd("/Users/tomazkastrun/Documents/tomaztk_github/Useless_R_functions/figures")
for (i in 1:10){
n_o_w <- paste0("Current time is ",as.character(format(Sys.time(), "%X")))
print(n_o_w)
qr <- qr_code(n_o_w, ecl = "M" )
filename <- paste0("QRCode", i, ".png")
png(filename)
plot(qr)
dev.off()
Sys.sleep(1)
}
library(magick)
files <- c("QRCode1.png", "QRCode2.png", "QRCode3.png", "QRCode4.png", "QRCode5.png", "QRCode6.png", "QRCode7.png", "QRCode8.png", "QRCode9.png", "QRCode10.png")
images <- image_read(files)
animation <- image_animate(images, fps = 1)
image_write(animation, "QRCode_animation.gif")
As always, the complete code is available on GitHub in Useless_R_function repository. The sample file in this repository is here (filename: QR-Code_clock.R). Check the repository for future updates.
Carry on with R-coding and stay healthy!
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This article is originally published at https://tomaztsql.wordpress.com
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