Project 2

Key Topics Covered:

1. Exploring Wine Data:

   • Displaying red and white wine datasets.
   • Checking dataset sizes, handling null values, and removing duplicates.

2. Analysis Tasks:

   • Exploring unique values, computing means (e.g., density), and combining datasets with a color column.
   • Investigating relationships, such as alcohol content and ratings, citric acid and pH correlation, and regression of pH on citric acid.

3. Feature Engineering:

   • Creating an "acidity level" column based on pH.
   • Grouping and analyzing quality by acidity level and wine type.

4. Comparative Analysis:

   • Comparing alcohol content groups, density, and sweetness ratings between red and white wines.

5. Statistical Analysis:

   • Conducting confidence interval tests for the difference in proportions of red and white wines based on specific ratings.