Median Review Score Update | Dataford Interview Questions

Explain how you would calculate the median response time across all reviews, then adjust each review score based on whether its response time is below the median.

Implement the function below. Each review is a dictionary with response_time and score; increase the score by 1 when its response time is strictly below the median, capped at 5. Return the median and a new list of adjusted review dictionaries.

Input: A non-empty list of review dictionaries. Output: { "median_response_time": number, "reviews": list }.

Constraints

1 <= len(reviews) <= 5000
0 <= review['response_time']
1 <= review['score'] <= 5
Every review contains exactly one response_time and one score
The input list must not be modified

Function Signature

def adjust_review_scores(reviews):

Your question is Median Review Score Update. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Explain how you would calculate the median response time across all reviews, then adjust each review score based on whether its response time is below the median.

Input: A non-empty list of review dictionaries. Output: { "median_response_time": number, "reviews": list }.

Constraints

1 <= len(reviews) <= 5000
0 <= review['response_time']
1 <= review['score'] <= 5
Every review contains exactly one response_time and one score
The input list must not be modified

Function Signature

def adjust_review_scores(reviews):

Your question is Median Review Score Update. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.