Paco Drawing Stats

A data analysis and case study created by Kuroji Fusky that collects and parses drawing data from a furry artist and illustrator Paco Panda.

The main gist of the project is that it uses a web scraper to get new drawing submission from his socials; then cleans up the data and adds it to the database. And using that to build this website and the underlying APIs on it!

It uses a combination of BeautifulSoup4 and Selenium WebDriver to scrap drawing data from Paco's socials and adds it to a Redis database that pushes the image binary and the JSON data along with it.

Once we got the scraped data, it uses FastAPI to provide a REST API and does the data science stuff on the fly.

• Node.js 20 or higher (LTS recommended)
• Python 3.11 or higher
• Yarn
• Docker

WIP

cd client
yarn install

cd server
python -m venv venv

# Linux
source venv/Scripts/activate

# Windows
.\venv\Scripts\activate

pip install -r requirements.txt

TBA

• GET /status
• GET /stats{?filters}
• GET /artworks
• GET /artwork{/title}
• GET /characters
• GET /character{?names}
• POST /new/character/ 👑
• POST /new/artwork/ 👑

The project began on October 31st 2021. The possible inspiration from this project is through McBroken (basically a McDonald's broken ice cream machine site) and it'd be interesting to see in all of his drawings to see said data, and its various datasets.

This project collects the following:

• The title and date of the piece
• Number of character(s) appearances, including species and names
• Media type (either drawn digital or traditional)
• Programs/mediums used (i.e. Photoshop, Procreate, etc.)
• The source where I got the data (i.e. FurAffinity, DeviantArt, InkBunny, Weasyl, etc.)

Apache License, Version 2.0