You have a list of test scores, where each entry includes a student name and a score. Some students appear more than once. You want to compute the average score for each student and store the results in a dictionary. Here's the partial code block:

Which code correctly replaces the # MISSING CODE comment to calculate the average score for each student? Select the best answer.

• A.
  
• B.
  
• C.
  
• D.
  

A teacher wants to compare the number of students in different school clubs:

Which type of chart would be most appropriate to show this comparison? Select the best answer.

• A. Bubble chart
• B. Bar chart
• C. Pie chart
• D. Line chart

A script attempts to divide two numbers using / and //. The values are 7 and 2. The developer wants to understand the difference between true division and floor division. What are the results respectively?

• A. 3 and 3.5
• B. 4 and 3
• C. 3.5 and 3
• D. 3 and 4

You are analyzing survey results from students about their favorite colors. The list colorsstores individual responses:

You want to:
- find the number of unique colors mentioned using NumPy, and
- determine how often each color was chosen using Counter.
Which code snippet correctly performs both tasks? Select the best answer.
from numpy import unique

• A. from collections import Counter
  unique_colors = len(unique(colors))
  color_counts = Counter(colors)
  import numpy as np
• B. from collections import Counter
  unique_colors = Counter(colors)
  color_counts = sum(np.unique(colors))
  import numpy as np
• C. from collections import Counter
  unique_colors = len(set(colors))
  color_counts = np.unique(colors)
• D. from collections import Counter
  unique_colors = np.unique(colors)
  color_counts = Counter(set(colors))
  import numpy as np

You are reading a data.csvfile line by line. To prepare each line for formatting with f-strings, you need to remove extra whitespace and split the values by commas.
Which line should you insert to correctly clean and parse the input?

• A. fields = line.split(', ').trim()
• B. fields = line.split().strip(', ')
• C. fields = line.replace(', ', '|').split('|')
• D. fields = line.strip().split(', ')