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Contents

Project Info & Setup

See the notebook online here!

Install and Environment Setup

Recommended: Anaconda

1. Install Anaconda, a Python environment manager.

2. Setup a R environment with conda.

   a) Follow the R Notebook tutorial up until it tells you to create a notebook in the browser (use v3.7.11 Python and the latest R if you are running the jupyter-notebook on Windows 10.)

   This is due to an dependency error for Python >=v3.8. Read more about the issue here.

3. Install R packages through Anaconda.

   a) Open your commandline (Anaconda installation comes with one).

   b) Activate your notebook env.

   conda activate name_of_your_env_you_created
   

   c) Install the following R packages.

   conda install -c r r-tidyverse
   conda install -c r r-lubridate
   conda install -c r r-ggplot2 # (you might not need to install this one, depending on what is pre-installed for you by Anaconda)
   conda install -c r r-plotly
   conda install -c conda-forge r-cowplot
   

4. Edit the notebook in the browser (or your jupyter supported editor/IDE) as you please!

Importing to Github Pages

Following this tutorial:

Run these steps after every major update to publish the changes.

With the right conda env activated, make sure that you have an installation of jupyter-book.

Conda: conda install -c conda-forge jupyter-book.

1. In a terminal (with the conda environment activated), move to the notebook directory.

   cd C:/ABSOLUTE/PATH/TO/PROJECT/ROOT/FOLDER
   

2. Run jupyter-book build ..

3. Run ghp-import -n -p -f _build/html .

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Overview