SUMMARY: What makes good wine good?
The purpose of this project was to: 1) Determine which characteristics are representative of “high quality” wine; and, 2) find out which classification method would provide the most accurate results for determining whether or not a particular wine would be considered “high quality” or not. In order to give you an insights of the quality of wine and what truly contributes to choosing the better quality. We will be analyzing different traits in both white and red wine such as alcohol content, sugar levels, acidity, color, etc. to gain a better understanding on how each contributes to the quality.
After assembling the dataset, we used Tablaeu and machine learning to plot various aspects of the wine quality VS. traits. Factors we looked at included: alchohol level, residual sugar, color, PH values and other top Factors. This site provides the source data and visualizations created as part of the analysis, as well as explanations and descriptions of any trends and correlations witnessed.
VISUALIZATIONS
