Red wine quality Dataset The given dataset, "RedWine.txt$",$ is used to model wine quality based on physicochemical tests. The dataset provides the $1,599$ red wine samples from the north of Portugal. It is a modified version of the data used in the study $[1].$ This dataset includes $5$ variables, denoted as X$1,$ X$2,$ X$3,$ X$4,$ X$5,$ and Y$,$ described as follows: X$1-$ citric acid X$2-$ chlorides X$3-$ total sulfur dioxide X$4-$ pH X$5$ alcohol Y $-$ quality $($score between $0$ and $10)[1]$ P$.$ Cortez, A$.$ Cerdeira, F$.$ Almeida, T$.$ Matos and J$.$ Reis. Modeling wine preferences by data mining from physicochemical properties. In Decision Support Systems, Elsevier, $47(4)$:$547-553,$ The provided zip file contains the data file $[$RedWine$.$txt$]$ and the R code $[$AggWaFit$718.$R$]$ to use with the following tasks, include these in your R working directory. You can use the R script $[$template$.$R$]$ to organise your code. Clarification and related resources are provided on https:$//$d$2$l$.$deakin.edu.au$/$d$2$l$/$le$/$content$/1422222/$viewContent$/7266544/$View $2009.$ Assignment Tasks $1.$ Understand the data $($i$)$ Import the txt file $($RedWine$.$txt$)$ and save it to your R working directory. $($ii$)$ Assign the data to a matrix, e$.$g$.$ using the.data $<-$ as$.$matrix$($read$.$table$("$RedWine$.$txt $"))($iii$)$ The variable of interest is quality $($Y$).$ To investigate Y$,$ generate a subset of $500$ data, e$.$g$.$ using: my$.$data $<-$ the.data$[$sample$(1$:$1599,500),$c$(1$:$6)][$The following tasks are based on the $500$ sample data$]($iv$)$ Using scatter plots and histograms to understand the relationship between each of the variables X$1,$ X$2,$ X$3,$ X$4,$ X$5$ and the variable of interest Y$.$