https://github.com/infoslack/eda-wine-review

Exploratory data analysis for wine reviews
https://github.com/infoslack/eda-wine-review

eda exploratory-data-analysis matplotlib numpy pandas python seaborn

Last synced: about 1 month ago
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Exploratory data analysis for wine reviews

• Host: GitHub
• URL: https://github.com/infoslack/eda-wine-review
• Owner: infoslack
• Created: 2021-12-16T14:01:13.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2021-12-16T14:02:05.000Z (about 3 years ago)
• Last Synced: 2023-03-11T20:28:17.884Z (almost 2 years ago)
• Topics: eda, exploratory-data-analysis, matplotlib, numpy, pandas, python, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 16.8 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# EDA wine reviews

This project conducting exploratory data analysis using a [Wine Review dataset found on Kaggle containing approximately 130k reviews](https://www.kaggle.com/zynicide/wine-reviews) from the Wine Enthusiast to understand better:

- Where does the best wine in the world come from?

- Is price related to quality?

- Are certain varieties of wine of higher quality?

- What is the best wine in each price bracket?

- What words are most used when talking about wine?

You can create a pip virtual environment and install the requirements:

```

python3 -m venv env

source env/bin/activate

pip install -r requirements.txt

```