Question

Data Structures and Algorithms Unit Test 15 of 2215 of 22 Items Question 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 for loop for loop linear search linear search binary search binary search bubble sort bubble sort Skip to navigation page 1 of 1

Answer 1

To find out which side effects occur most often in a given set of data, an appropriate algorithm would be to use a for loop in combination with a counting mechanism, such as a hash map (or dictionary), to tally the occurrences of each side effect.

Here's a basic outline of how you could implement this:

1. Initialize a hash map (or dictionary) to store the side effects as keys and their counts as values.
2. Iterate through the list of side effects using a for loop.
3. For each side effect, check if it is already in the hash map:
   • If it is, increment its count.
   • If it is not, add it to the hash map with a count of one.
4. After processing all the side effects, you can then iterate through the hash map to determine which side effect has the highest count.

The other options listed (linear search, binary search, bubble sort) are not suitable for this specific task of counting occurrences.

So, the best answer from the provided options is for loop.