Pandas — Fundamentals with Wine Data

# Description

Pandas fundamentals project using the UCI Wine Quality dataset (1599 Portuguese red wines). Learn to load data from CSV, explore DataFrames, filter rows with conditions, group data with groupby for category statistics, visualize relationships between variables, and create new columns with basic feature engineering. Discover real relationships between chemical variables and wine quality.

$ ./deploy.sh $ git clone

# Key features

$ Loading real datasets from CSV with pandas

$ DataFrame exploration with shape, head, info, describe

$ Data filtering with multiple conditions

$ Grouping and aggregation with groupby and agg

$ Visualization: distribution, alcohol vs quality, correlations

$ Basic feature engineering: creating new columns

# Gallery

Desktop view

Mobile view

# Technologies used

Python pandas numpy matplotlib seaborn