This repository was created for the module "Fundamentals of Data Visualization" in the spring semester 2025 at FHNW. It contains work related to the fundamentals of creating effective and meaningful data visualizations.
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gdv.ipynb:
Jupyter Notebook with code, explanations, and visualization examples as part of coursework for the module. -
abgabe_gdv_sandra_senn_fs25.pdf:
The official project submission for the module. -
requirements.txt:
List of Python dependencies required to run the notebook(s).
- Clone or download this repository.
- Install the required Python libraries using:
pip install -r requirements.txt- Open
gdv.ipynbin Jupyter Notebook, JupyterLab, or VS Code to view and interact with the visualizations.
Repo Structure
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├── .gitignore
├── README.md
├── abgabe_gdv_sandra_senn_fs25.pdf
├── gdv.ipynb
└── requirements.txt- All work in this repository was completed as part of coursework for FHNW.
- The main focus is on demonstrating key principles of data visualization using Python.
This repository is for academic and personal use.
If you intend to reuse any part of this work, please credit the original author.