Wine Enthusiast dataset analysis

🙍 Manuele Nolli

🏫 SUPSI

📆 2022/2023

Description

This document is an analysis of a public dataset found on Kaggle.com

The dataset contains 80k wine reviews with variety, location, winery, price, points, taster name and description. Each row represent a review of a wine.

My analysis will focus on the following questions:

• Where are the wines produced?
• What is the distribution of the points?
• What is the distribution of the prices, and is it related to the points?
• What is the distribution of the variety of wines?
• How much tasters are there and how much reviews each of them has done?
  • Are there tasters that are more reliable than others?
  • Have the tasters a preference for a specific continent/country?
• What are the most common words in the description of the wines?

💻 Notebook

Used libraries

• Plotly
  • Express
  • Graph Object
  • Subplots
• Numpy
• Pandas
• Matplotlib

🍷 Cheers!