A lightweight, Sphinx-inspired static website generator designed to host and present analytics projects and reports. This tool aims to provide a simple framework for organizing, documenting, and sharing data analysis outputs in a web-friendly format.
Features
- Static site generation tailored for analytics content
- Markdown support for easy content creation
- Simple project structure for organizing reports and data
- Extensible for custom analytics workflows (assumed)
Tech Stack
- Python (assumed, given Sphinx inspiration and typical static site generators)
- Markdown for content formatting
- Static HTML/CSS output
Getting Started
Prerequisites
- Python 3.x
- pip (Python package manager)
Installation
# Clone the repository
git clone https://github.com/justin-napolitano/data-journal.git
cd data-journal
# (Optional) Create and activate a virtual environment
python3 -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
# Install dependencies (if any, assumed requirements.txt or setup.py)
pip install -r requirements.txt
Running
# Assuming a CLI or script to generate the site
python generate_site.py # assumed command
# The generated site will be in the `build` or `output` directory (assumed)
Project Structure
/data-journal
├── README.md # Project documentation
├── content/ # Markdown files and analytics reports (assumed)
├── templates/ # HTML templates for site generation (assumed)
├── static/ # Static assets like CSS, JS, images (assumed)
├── generate_site.py # Main script to build the site (assumed)
├── requirements.txt # Python dependencies (assumed)
Future Work / Roadmap
- Add support for dynamic analytics visualizations
- Improve theming and template customization
- Integrate with common data science tools and notebooks
- Add deployment automation
- Implement search functionality within generated sites
Note: Several assumptions are made due to limited repository details.