Description: The term ‘quantitative’ refers to an approach that focuses on the measurement and analysis of numerical data, as opposed to qualitative assessment based on characteristics or qualities. In the field of data analysis, quantitative involves the collection of data that can be expressed in terms of quantity, allowing for statistical and mathematical analysis. This approach is fundamental in various disciplines, including data engineering, where the aim is to optimize the management and processing of large volumes of information. Tools that analyze data use quantitative data to create visualizations that facilitate the understanding of patterns and trends. The quantitative approach can also be applied to measure the performance and efficiency of interactions in distributed systems and applications. In the realm of code refactoring and code review, quantitative data can help assess code quality through metrics such as cyclomatic complexity. Finally, in monitoring systems, quantitative data is essential for tracking the performance of applications and services, allowing developers to make informed decisions based on accurate metrics.
