Which of the following is an example of pattern recognition in computational thinking?

Pattern recognition is a fundamental aspect of computational thinking, allowing individuals to identify trends, similarities, and inconsistencies in data. When someone identifies a recurring theme in data sets, they are essentially recognizing patterns that can inform further analysis or decision-making. This skill is crucial for making sense of large amounts of data and drawing valuable conclusions.

The other choices do not exemplify pattern recognition. Writing code without errors relates more to technical skills and debugging rather than identifying patterns. Creating a new variable for every data point is more about data management and organization, which does not involve recognizing trends or relationships in the data. Documenting code comments focuses on making the code understandable for others, not on recognizing or analyzing patterns within the data itself. Thus, identifying a recurring theme in data sets is an accurate representation of pattern recognition in computational thinking.