Spanish Wine EDA
Exploratory analysis of 10,000+ Spanish wines examining price, region, variety, and rating relationships.
PythonPandasMatplotlibSeabornJupyter
Overview
An exploratory analysis of the Spanish wine market using a dataset of 10,000+ wines across 60+ regions. The analysis examined relationships between price, rating, region, and grape variety to identify quality-value sweet spots.
Key Findings
- Regional price variation: Wines from Ribera del Duero commanded a 40% premium over comparable wines from other regions
- Price-rating correlation: Weak positive correlation (r = 0.34)—price is a poor predictor of quality
- Value regions: Several DOs (Denominaciones de Origen) produced consistently high-rated wines at below-average prices
This experiment informed feature engineering decisions in later production projects where categorical variables with many levels (60+ regions) required careful encoding strategies.