Which technique involves organizing data into a common format?

Data normalization is the technique that involves organizing data into a common format, making it easier to analyze and compare. This process typically aims to reduce redundancy and improve data integrity by ensuring that data adheres to a standard format or scale.

In data normalization, various values within a dataset are transformed to a consistent range or format, which helps in standardizing data attributes such as scales, units, or categories. For instance, if one dataset uses different units of measurement for similar data points, normalization can convert them into a single unit, facilitating easier analysis and interpretation.

Understanding this technique is crucial, particularly when dealing with datasets from multiple sources that may represent similar information in different ways. By organizing data into a common format, analysts can execute more accurate comparisons and draw meaningful insights from their analyses.