Analyze in R: Heatmap your calendar! The “openair” package

The “calendarPlot” command included in this package can easily heat map your calendar.

It may be interesting to plot readily available temperature and precipitation data on a calendar.

Package version is 2.14. Checked with R version 4.2.2.

Install Package

Run the following command.

#Install Package
install.packages("openair")

Examples

See the command and package help for details.

#Loading the library
library("openair")

###Creating Data#####
#Install the lubridate package if it is not already present
if(!require("lubridate", quietly = TRUE)){
  install.packages("lubridate");require("lubridate")
}
#Install the tidyverse package if it is not already present
if(!require("tidyverse", quietly = TRUE)){
  install.packages("tidyverse");require("tidyverse")
}

set.seed(1234)
n <- 30
TestData <- tibble(date = seq(lubridate::ymd("2022-12-01", locale = "C",
                                             tz = "Asia/Tokyo"),
                              by = "1 day", length.out = n),
                   Data = sample(1:30, n, replace = TRUE))
########

#Convert date to Date class
TestData[, 1] <- as.Date(TestData[, 1], tz = "Japan")
#Plot
calendarPlot(TestData, pollutant = "Data",
             annotate = "date",
             day = "weekend",
             cols = c("#4b61ba", "#a87963"),
             main = "&#12363;&#12425;&#12384;&#12395;&#12356;&#12356;&#12418;&#12398;")

Output Example

I hope this makes your analysis a little easier !!