Introduction

Hello fellow classmates, my name is Tyrion Lannister and I am happy to be in BAN 300, Foundations of Data Management with all of you wonderful people. I enjoy analytics, but especially the analysis of wine and mead. I’ve never been exposed to R and don’t have any experience programming. The only analytics applications I have some experience with are:

Data Analysis

Below is some data I found about wine.

url <- "https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-white.csv"
wine <- read.csv(url, sep = ';', header = TRUE)
head(wine %>% select(residual.sugar, alcohol, quality))
##   residual.sugar alcohol quality
## 1           20.7     8.8       6
## 2            1.6     9.5       6
## 3            6.9    10.1       6
## 4            8.5     9.9       6
## 5            8.5     9.9       6
## 6            6.9    10.1       6

I’m not 100% sure, but it looks like alcohol content might be related to wine quality as shown in the boxplot below.