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

RAnalytics
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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.

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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 = "からだにいいもの")

Output Example


I hope this makes your analysis a little easier !!

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