Build calendars with date and time types
The subject of this tutorial is creating calendars using R. The R language of statistical computing is a free implementation of the S language. This tutorial will show you how to use a Docker image to execute RStudio and how to work with dates and times in R, before explaining how to create calendars – being able to work with dates and times, and knowing how to extract the desired parts from a date string or structure is really important for defining the calendar you want.
We’ll then move on toexplaning how to use Python 3 to create a calendar heat map with random data.
Installing R
You can install R using your favourite package manager or by following the instructions found in the R FAQ (https://cran.r-project.org/doc/FAQ/R-FAQ.html). As you will see, you can also run R and RStudio using a Docker image.
You can enter the R shell by executing R on your favourite terminal. You can find the version of R you are using by executing the R --version command, provided that the directory of the R binary is in your PATH environment variable. The output will be similar to the following below:
If you have time and want to see some of the capabilities of
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