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ETRA Challenge

Data Analysis of the ETRA Dataset.

You can view the render of this report here: https://dkubek.github.io/etra_challenge/

Setup

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

Generating report

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.

Publishing to github pages

Enter the poetry environment.

Locally run

quarto publish gh-pages

this will render the report and push the output to branch gh-pages.

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Data Analysis for the ETRA Dataset

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