🍷 Wine Quality Analysis

This project performs exploratory data analysis (EDA) and multidimensional visualizations on the UCI Wine Quality dataset (Red & White wines).

📊 Features

• Data preprocessing & cleaning
• Statistical summary
• Multivariate analysis:
  • Correlation heatmap
  • Pairplot
  • 3D scatter plot
  • Parallel coordinates
  • Andrews curves
  • Radar chart
  • PCA & KMeans Clustering

📊 Analysis Visualizations

📈 Visualization	📉 Description
	Overview of the dataset - distribution of key variables.
	Correlation Heatmap showing relationships between variables.
	Gender Distribution represented in a pie chart.
	Age Distribution histogram of the subjects.
	Income Categories visualized using a bar chart.
	Geographic Spread of data points on a map.
	Trend Analysis over time using a line chart.
	Boxplot of variable distribution for outlier detection.
	K-Means Clustering visualization.

📁 Structure

• data/: CSV datasets
• notebooks/: Jupyter notebook with full EDA
• src/: Python scripts (optional modularization)
• visuals/: Saved plots/images

🚀 How to Run

1. Clone this repo
2. Install dependencies:

   pip install -r requirements.txt