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: 2 months 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 (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-12-16T14:02:05.000Z (over 4 years ago)
- Last Synced: 2025-03-16T17:39:20.709Z (over 1 year ago)
- Topics: eda, exploratory-data-analysis, matplotlib, numpy, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 16.8 MB
- Stars: 4
- Watchers: 2
- 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
```