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 install
Finally, enter the environment with
poetry shell
Firstly, 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 html
To 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 pdf
The 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-pages
this will render the report and push the output to branch gh-pages
.