Section $2$: write a R script to complete the following tasks on ANOVA and Regression

Create a data frame named e$01$ after importing airquality data. Note: you can find codes that allow you to generate a data frame from submodule $"$R on Data management". Generate a subset of data frame that excludes all missing values and name it as $eO2.$

Sort the data frame $eO2$ by variable Month and name the sorted data as e$03.$

Check data type in data frame e$03$ using function str$()$

Find the unique month value using table$()$ or unique$()$

Generate a boxplot of ozone level by month. Mark y axis as "Ozone", X axis as "Month"

Run One$-$way ANOVA

Convert variable Month from a numeric variable to a string variable. Alternatively, you can also encode Month into a factor variable.

Run parametric one$-$way ANOVA that allows to test if the mean ozone levels are the same across months.

Print your ANOVA result using summary$()$ function