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Data analysis of pizza chain's Domino's and Papa John with Python & pandas.

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Introduction 👋 👋🏻 👋🏼 👋🏽 👋🏾 👋🏿


Welcome to my analysis and visualization of publicly listed 🍕 ⛓️   in the United States. This will be ongoing and I will keep adding to this project when I have time.

Currently Papa John's is here, but shortly I shall be adding Domino's, as well as a comparison between the two.

I'm using JupyterLab ♃ and work on a Debian 11 🐧   installed workstation.

I actually would ❤️  feedback. If you have anything to recommend criticize, or share, please contact me here or here through GitHub (if possible).

Roadmap 🛣️


  • Domino's analysis ✅
  • Domino's x Papa John's analysis 🚧
  • Price predictions 🚧
  • Script(s) to get data ✅   🚧
  • Front-end web presentation in HTML, CSS, and JavaScript possibly with React 🚧
  • Continued analysis 🚧

Installs 💾


Add nbimporter to place your classes and functions in an external file and include/instantiate.

pip install nbimporter

Note: Whenever I make changes to classes/MyStock.ipynb I need to restart the kernal.

Run

Here...

  • Dominos.ipynb
  • PapaJohns.ipynb

tools/

Script to get stock quote data from Yahoo Finance website.

  • scrape_yahoo_finance_ca.py

sql/

ipython-sql and SQLite data loaded into notebook.

  • ipython-sql.ipynb