Data analysis refers to the systematic process of inspecting, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. It involves various techniques and tools to interpret and visualize data, enabling insights that can lead to strategic actions. The ultimate goal of data analysis is to uncover patterns, identify trends, and derive meaningful insights from raw data, which can be quantitative or qualitative. This process can be applied across numerous fields, including business, healthcare, social sciences, and more, and often employs statistical methods and software to handle and analyze large datasets. Data analysis can be categorized into different types, such as descriptive, diagnostic, predictive, and prescriptive analysis, each serving a distinct purpose in understanding and utilizing data effectively.
A medida que se desarrollaban las prácticas del Senior Bowl en la Universidad del Sur de Alabama esta semana, aparecían números en la pantalla gigante de video en el Hancock…