ABSTRACT
Data analysis requires critical thinking about how to approach problems, such as what kinds of problems can be solved with better information and what kinds of data could give an answer to a key question. Deciding how to approach legal issues using data requires understanding both the law and analysis techniques. A limiting aspect of analyzing legal data is that in many instances data collection is a secondary consideration in its creation. Statistical hypothesis testing allows researchers to use a statistical test to ascertain if a dataset conforms to what would be expected if the hypothesis were true. Machine learning is the use of specialized computer algorithms that can process large amounts of data and identify patterns in them. Correlation means that different attributes in a dataset change together but may not be caused by each other, high summer temperatures and sales of beach balls. Available data may not meet the requirements for particular needs, such as informing decision making.
