The main objective of this project is to explore the white wine quality dataset by conducting exploratory data analysis. About Dataset: The white wine quality dataset contains information about various attributes of white wines, with a focus on factors that might influence their quality. The dataset consists of a total of 4898 instances and 12 columns. What I have done for EDA are the following:
- Univariate analysis: Histogram for Each Variable
- Univariate Analysis - Separate Boxplots for Each Variable
- Bivariate Analysis: Scatter Diagrams
- HEATMAP Analysis
- Box Plot for Wine Quality vs. Alcohol Content
- Scatter Plot for Alcohol Content vs. Volatile Acidity
- Pair Plots