Hakuna Moscato

A project to determine Wine Quality.

• [The App] (https://hakuna-moscato.ue.r.appspot.com)

Tableau Links

• Part I
• Part II
• Part III
• Part IV

Project Description:

• Using data scraped from Global Wine Score API as well as a dataset from Kaggle, the goal of this project is to determine what factors affect wine quality, including country of origin, price, color, and vintage.
• Visualization includes a Python Flask-powered API, HTML/CSS, JavaScript, and an SQL database.
• In addition to the above, we utilized: Heroku, Bootstrap, Plotly, Leaflet and D3
• Powered by a dataset with over 200000 records
• Includes user-driven interaction
• Personal Tableau Visualization

Languages & Technology Used

• Python
• Jupyter Notebook
• Heroku
• Google Cloud App
• Bootstrap
• HTML
• CSS
• JavaScript
• Leaflet
• D3
• Plotly

Datasets

Preliminary research

Machine learning and deployment

Team Members:

• Cameron Farquhar
• Jared Nieves
• Jimmy White
• Kurt Dietrich
• Beth Myers
• Yuri Groza

Links

• JWhiteAnalytics.com
• LinkedIn
• Full Resume
• GitLab