This dataset offers a comprehensive glimpse into the world of wines, featuring details scraped from wine.com. With a rich assortment of information, it covers wine names, color types, prices, capacities (in milliliters), ratings provided by site users, the number of ratings received, country of origin, alcohol content (ABV), and a list of top wine experts who have reviewed the wines
This dataset was meticulously scraped from wine.com, a popular source for wine enthusiasts and connoisseurs.
- Name: Name of the wine
- Color_wine: The color type of the wine
- Prices: Price of the wine
- ML: Capacity in milliliters
- Rating: User-generated rating on the site
- Ratingsnum: The number of user ratings
- Countrys: Country of production
- ABV: Alcohol by volume (ABV) content
- Retes: List of top wine experts who have reviewed the wines
- numpy
- pandas
- streamlit
- plotly
- matplotlib
- chardet
Make sure you have python installed locally.
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Clone the project
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Run this command
pip install streamlit -
Run the app
streamlit run app.py