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.

＜おすすめのRに関する書籍です＞

Rによるテキストマイニング入門 第2版 | 石田基広

日本語テキストの前処理から分析までをRで扱う定番の入門書。形態素解析を絡めた分析の基礎が身につく。

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 !!

＜おすすめのRに関する書籍です＞

多変量解析の基礎 II　主成分分析（改訂版）: 理論とRによる演習

主成分分析に絞って理論を丁寧に追い、Rの演習で確認する構成。数式の意味を腹落ちさせたい人向け。

www.amazon.co.jp