As part of Data Analysis Nanodegree this project was developed in order to apply exploratory data analysis techniques to explore relationships in one variable to multiple variables and to explore a selected data set for distributions, outliers, and anomalies. In particular, to evaluated which chemical properties influence most the quality of red wines.
This data set contains 1,599 red wines with 11 variables on the chemical properties of the wine. At least 3 wine experts rated the quality of each wine, providing a rating between 0 (very bad) and 10 (very excellent). https://s3.amazonaws.com/udacity-hosted-downloads/ud651/wineQualityReds.csv.
- RMD file, which contains plots, analysis.
- HTML file knitted from RMD file
- HTML file is the output of analysis submitted done by R Studio.
- RMD file was created on R Studio.