The Sommeliers
Wine Data Analysis and Visualization
This project was completed as the term project for DS 3001: Introduction to Data Science. We gathered and analyzed a dataset of wine reviews from Kaggle. In completion of this project we hope to allow wineries, stores, and sommeliers to better understand which wines are the most popular and what prices they sell for. More information on how we accomplished this goal and the original dataset to download can be found below.
Data Visualization »
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Data Analysis »
Our visualizations ask interesting questions about the dataset, create graphs and charts based on those questions, and use those graphs and charts to answer the question. This process, from start to finish, reveals patterns and trends in the dataset.
We looked at this dataset from the point of view of the consumer, retailer, and producer. The consumer may be interested in learning if the quality of wine is correlated with its price. If it is, the consumer may be more inclined to purchase more expensive bottles of wine.
We also collected Twitter data in order to examin the recent popularity of the wine varieties. This trending data is important for retailers and producers to determine what wine they should stock in their stores or grow in their vineyards.