Suppose you are eximaning a set of raw medical data that includes the side effects of a specific drug.you are intersted in finding out which side effects occur the most often.what would be an appropriate algorithm to find this data?
1.bubble sort
2.binary search
3.linear search
4.for loop
3. linear search
A linear search algorithm would be appropriate to find out which side effects occur the most often in the given raw medical data. It involves iterating through the entire dataset and counting the occurrences of each side effect. By comparing the frequencies, one can determine the side effects that occur the most frequently. The linear search algorithm would be efficient for this task if the dataset is not too large.