Data Visualization Projects

A small collection of Python visualization exercises covering proteomics results and COVID-19 case distributions.

Project	Purpose	Main tools
bar-chart-top10	Compare mean expression for the ten proteins with the smallest supplied p-values	pandas, Matplotlib
volcano-plot	Plot log2 fold change against statistical significance	pandas, NumPy, Matplotlib
interactive-dash-app	Explore kernel density estimates of daily COVID-19 cases	pandas, scikit-learn, SciPy, Dash, Plotly

Setup

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

On Windows, activate the environment with .venv\Scripts\activate.

Each project has its own usage notes. The source datasets are not included, so the expected input filename and columns must be provided before running a script or notebook.

Repository structure

.
├── bar-chart-top10/
├── interactive-dash-app/
├── volcano-plot/
└── requirements.txt

Limitations

These projects are exploratory visualizations. They do not implement a complete statistical analysis pipeline, input validation, or automated tests. The notebook retains its original output cells and a Colab-specific input path.