Create a Python program that takes a badly formatted data set and converts it into CSV. Details:

• The data has three fields which we will assume are always present: a number, a name (that contains no spaces), and a salary. The data may have multiple spaces between the fields and all fields for the same row may be on different lines. Data set is here:

  2   Joe    95000 4 Steve
     35000    1  Samantha   150000     10 Leah   99000
   6   Riley   53215     7   Ashley   23424
   15    Sheyanne 225000   9  Dave  35235
      

• Put a comment at the top of the Python file called lab5q2with your name and student number. 
• Put the data above into the Python code file using a triple quoted string. 
• Use split to divide up the messy data where fields are separated by spaces. 
• Create individual lists for the ids, names, and salaries and print out each list. 
• Output the data in CSV form:id,name,salary. 
• Create a new list where each element is a list representing a row in the CSV file. Print this list. 
• Create and print a new list which includes only rows where the id >= 4 and id <= 8, or the person has a salary > 50000. 
• Output the original list in CSV form sorted by id ascending. 
• Create and print a new list which for each row increases the salary by 50% if the length of the person's name is 3 characters or less or starts with'S'. 
• Output the original list in CSV form sorted by salary descending. 
• Create a function to output in CSV form and use it multiple times rather than duplicating code.