Dataset description

You have a table called students that represents a daily schedule of each student in a school (suppose all students have the same schedule every day). Table contains the following columns:

1. student_id [int] -- unique identifier of a student.
2. class [str] -- name of the class each student attends in this particular order. Can take one of the following values: 'english', 'math', 'history', 'chemistry', 'gym', 'civics', 'writing', 'engineering'
3. grade [int] -- final grade of a student for a particular class.

student_id	class	grade
0	engineering	86
0	chemistry	75
1	math	85
1	engineering	0
1	english	73
1	history	81
2	math	12
2	history	81
2	gym	79
2	english	5

Task description

You have a theory that the sequence of class-to-class transitions affects students' grades. For instance, you suspect student #1 would do better in his engineering class if it immediately followed his english class instead of his math class.

1. Write a function to determine the average and median grade for groups of students based on the class they have immediately prior to a given class. Also report how many students fall into each group. How would you interpret the results?

[BONUS]

2. Add support of command line arguments. Make sure the script can be run from command line and the following two arguments can be specified:

   • path to the .csv file
   • name of the target class

3. Run your application inside of a docker container.

Good luck!!!