Data Analysis of the ETRA Dataset.
You can view the render of this report here: https://dkubek.github.io/etra_challenge/
Firstly, you need to have poetry installed.
curl -sSL https://install.python-poetry.org | python3 -Then setup the environment by running
poetry installFinally, enter the environment with
poetry shellFirstly, install Quarto and
enter the poetry environment with all dependencies installed (publish group
is sufficient).
To generate an html report run
quarto render etra_challenge.qmd --to htmlTo generate a pdf first make sure you have TeX installed. You can use
sh quarto install tinytex
Note that this is not installed in the PATH and does not affect your global
tex.
Now render with:
quarto render etra_challenge.qmd --to pdfThe output of these commands will be stored in output/.
To convert the report to a jupyter notebook see Converting Notebooks.
Enter the poetry environment.
Locally run
quarto publish gh-pagesthis will render the report and push the output to branch gh-pages.