Xianjing_Huang_Mini_Proj_2

Directory Tree Structure

Xianjing_Huang_Mini_Proj_2/
├── .devcontainer/
│   ├── devcontainer.json
│   └── Dockerfile
├── .github/
│   └── workflows/
│       ├── format.yml
│       ├── install.yml
│       ├── lint.yml
│       └── test.yml
├── imgs/
├── .gitignore
├── data_intro.png
├── main.py
├── Makefile
├── medals_histogram_plot.png
├── medals_pie_chart_plot.png
├── olympics2024.csv
├── README.md
├── repport.pdf
├── requirements.txt
└── test_main.py

Requirements

• Python script using Polars for descriptive statistics
• Read a dataset (CSV or Excel)
• Generate summary statistics (mean, median, standard deviation)
• Create at least one data visualization

Preparation

1. Open codespaces
2. Wait for container to be built and pinned requirements from requirements.txt to be installed
3. If running locally, git clone the repository and use make install

Check format and test errors

1. Format code make format
2. Lint code make lint
3. Test code make test

Descriptive Statistics

Visualization

1. Histogram
2. Pie Chart

Report

Generated summary report (PDF) via CI/CD for extra credit. You can find it here Report