When analyzing data, which does the scientist look for? a facts b patterns c opinions d predictions

When analyzing data scientists look for patterns, that help them form predictions.

Patterns are rules that variations/characteristics follow, either in data or anything else patterns might be used for.

Example:

The fact that worms are found always 10 meters forom eachother (not true, it's an example) is a pattern, that will help you predict the location of the next worm.

Hope it helped,

BioTeacher101

what subject is this