Write a code that contains the answers of the questions given below and save your file by using your

name $$Name$.$R$.$ Send me the $.$R file.

$1.$ Add a comment line that contains your name, surname, student ID and department.

$2.$ Draw a Box$-$and$-$Whisker Plot by using iris dataset $($Petal length vs Species$).$

$-$ Show the box$-$plot of each species at the same plot.

$-$ Label x and y axes. Give a title to the chart.

$-$ Show all the necessary information to build the box plots in a list.

$-$ Save your plot by using appropriate codes. The name of the file will be $$Name$-$BoxPlot.png$($i$.$e$.,$

Seza$-$BoxPlot.png$).$ Width and height of the chart should be $800$ and $600,$ respectively.

$3.$ Draw a Histogram by using iris dataset $($Frequency vs$.$ Petal length$).$

$-$ Set the color of the histogram as red.

$-$ Label x and y axes. Give a title to the chart.

$-$ Show all the necessary information to build the histogram in a list.

$-$ Save your plot by using appropriate codes. The name of the file will be $$Name$-$Histogram.png$($i$.$e$.,$

Seza$-$Histogram.png$).$ Width and height of the chart should be $800$ and $600,$ respectively.

$4.$ Create a dataframe called Name.Iris $($i$.$e$.,$ Seza.Iris$)$ by assigning all the content in the iris dataset.

$-$ Create a file called $$Name$.$csv$($i$.$e$.,$ Seza.csv$)$ by using $$write$.$csv$$ command. The fill should contain

the data frame you created.

$-$ Use $$Read$.$csv$$ command to assign the data in the $$Name$.$csv$$ file to a dataframe named $$Name$.$

$-$ Use str$()$ command to check the structure of the $$Name$$ dataframe.

$-$ Use summary$()$ command to check the descriptive statistics of the $$Name$$ dataframe.

$5.$ Create education and test sets by using iris data set.

$-$ Use set.seed$()$ command to generate the same random numbers.

$-$ The sample size of the test set will be $25.$ The remaining data will be at the education set.

$-$ The name of the test set will be $$Name$.$test$($i$.$e$.,$ Seza.test$).$

$-$ The name of the education set will be $$Name$.$education$($i$.$e$.,$ Seza.education$).$

$6.$ Create a linear model by using iris data set.

$-$ Dependent variable will be Sepal Length.

$-$ All the other variables will be independent variables.

$-$ The name of the model will be Name.model$1($i$.$e$.,$ Seza.model$1).$

$-$ Show the summary of the model.

$7.$ Create a linear model by using iris data set.

$-$ Dependent variable will be Sepal Length.

$-$ All the other variables $($except species$)$ will be independent variables.

$-$ The name of the model will be Name.model$2($i$.$e$.,$ Seza.model$2).$

$-$ Show the summary of the model.

$8.$ Create a linear model by using iris data set.

$-$ Dependent variable will be Sepal Length. Sepal Width will be the independent variable.

$-$ The name of the model will be Name.model$3($i$.$e$.,$ Seza.model$3).$

$-$ Show the summary of the model.