Suppose you are examining a set of raw medical data that includes the side effects of a specific drug. You are interested in finding out which side effects occur the most often. What would be an appropriate algorithm to find this data?(1 point) Responses bubble sort bubble sort linear search linear search for loop for loop binary search
1 answer
The most appropriate algorithm to find the most frequent side effects in a set of raw medical data would be a for loop. This is because a for loop allows you to iterate through all the records in the dataset and count the occurrence of each side effect. By keeping track of the frequency of each side effect in a separate data structure (such as a dictionary or hash map), you can easily determine which side effects occur most often.