Q$2.$ Read the file marketing$\_$campaign.csv$.$ The dataset records $1560$ customers' different information, each row

represents one customer. The variable names are self$-$explanatory. Answer the following questions.

Please answer the questions below with Python, display the codes, result and graphs clearly.

$($a$)[1$ points$]$ What are the unique values in the variable Marital$\_$Status?

$($b$)[4$ points$]$ How many Single and Married customers are there in this data set?

$($c$)[4$ points$]$ Show the mean Income of Single and Married customers. Which group has a higher mean

Income?

$($d$)[4$ points$]$ Visualize the distribution of variable Income across different Marital$\_$Status with a boxplot.

Your result should look like the below. $($Hints: pay attention to the axis labels and the plot title.$)$

$($e$)[4$ points$]$ According to the boxplot, which group $($i$.$e$.,$ married, single or divorced$)$ has the highest

maximum Income? And which group has the highest median Income? Explain your answer.

$($f$)[4$ points$]$ Create a subset named subset $2$ in which the "Divorced" customers are excluded. How many

customers are there in the subset?

$($g$)[4$ points$]$ Visualize the density of Income in subset $2$ with a density plot. Add a vertical red line to show

the average income in the data set. Your output should look similar as below graph. $($Hints: pay attention

to the axis labels and the plot title.$)$

$($h$)[2$ points$]$ Based on your answer in part $($g$),$ is the Income normally distributed? Explain your answer.