create a class called CarsAnalysis, that

contains some analysis on the cars.csv dataset you received during the final exam. This code

will be saved in

Q$1.$py

The class CarsAnalysis will contain two class methods:

a$)(4$ points possible$)$ Class method diesel$\_$cars that gets one argument filepath $($of type

string$)$ that contains the full path for the cars.csv file. The method reads the csv file into

a pandas dataframe, processes it$,$ and plots a pie chart that shows the make of cars that

have fuel type diesel. The pie chart will show as labels the make, as well as the number

of cars that fall into that category $($that make, and they are of fuel type diesel$).$ The

plotted graph should have a suggestive title, and will be saved on disk as diesel$\_$cars.png

$($hint: do not forget to call plt$.$clf$()$ after plt$.$savefig$($figname$)$ to clear the figure$).$

b$)(4$ points possible$)$ Class method called body$\_$styles$\_$cars that gets one argument

filepath $($of type string$)$ that contains the full path for the cars.csv file. The method reads

the csv file into a pandas dataframe, processes it$,$ and plots a bar chart that has on the $x$

axis the possible body styles of cars, and on the $y$ axis the number of cars that fall into

that body style. The plotted graph should have a corresponding title, $x$ label, and y label,

and will be saved on disk as body$\_$styles$\_$cars.png $($hint: do not forget to call plt$.$clf$()$

after plt$.$savefig$($figname$)$ to clear the figure$).$

c$)(15$ points possible$)$ Create class method called other$\_$analysis that gets one argument

filepath $($of type string$)$ that contains the full path for the cars.csv file. The csv file is read

into a pandas dataframe. The method will create four analysis $($different than the ones

from a and $b).$ The results of these analysis must be plotted $($i$.$e$.$ create graphs$)$ and

saved as images. After it processes each analysis, it will print on screen the Analysis

number $($e$.$g$.$ 'Analysis c$1\text{'}),$ and a short message describing the analysis, and then save

that graph figure to disk. The result $($plotted graph$)$ of each of these four analyses will be

saved on disk as images in a $.$png file having names c$1.$png$,$ c$2.$png$,$ c$3.$png$,$ c$4.$png$.$ Note:

the plotted graphs must be readable, and must have descriptibe titles and labels. One of

one of the plot must be an X$-$Y plot. $($hint: do not forget to call plt$.$clf$()$ after

plt$.$savefig$($figname$)$ to clear the figure$).$

Code to be documented with comments describing each analysis. You will be graded

based on the correctness of the result and quality of the analysis. All the analysis must

be different. Two similar analysis will not count as two analysis. To receive any credit,

code must run without errors.