Website for the Data-Librarian Course

This is the hugo based website for the third module "Daten analysieren und darstellen"

Add content

• to add a session put a session folder in the ./content directory.
• the folder must contain an _index.md page. That is the landing page for this session.
• you can then add more markdown files that function as subpages.
• just checkout the existing folders in the ./content directory.

Shortcodes

This websites provides some custom shortcodes.

{{% customnotice tip%}}
This is a tip box.
{{% /customnotice %}}

Instead of tip you can also insert exercise, alert or code boxes.

A simple quiz is also provided:

{{% quiz pandas_quiz%}}
{{< item question="Wie lautet der Name der Pandas Funktion, mit der Excel-Dateien eingelesen werden können?" answer=1 choices="read_excel,to_excel,load_excel,from_excel" >}}
{{< item question="Mit welchem Befehl kann die Anzahl der Zeilen aus einem DataFrame auslesen?" answer=2 choices="df.rows,len(df),df.shape[1],df.size" >}}
{{< item question="Wie viele fehlende Werte enthält die 'Age Range' Variable des Datensatzes?" answer=4 choices="40,423448,0,215" >}}
{{< item question="Was ist der Modalwert der Spalte 'Age Range'?" answer=1 choices="'25 to 34 years',91083,423233,'75 years and over'" >}}
{{% /quiz %}}

Build

this project is based on hugo and the hugo-learn theme.

• add the learn-theme as a submodule to the hugo/themes folder

cd themes
git submodule add https://github.com/matcornic/hugo-theme-learn.git

• run hugo test server

hugo server

• build website locally

hugo

Deploy

Automatic deployment to the gh-pages branch via GitHub Actions For Hugo

Credits

This website uses a modified version of the Learn Theme for Hugo

License

The content of the website for this project are licensed under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). The underlying source code is licensed under the MIT license.