Description: Juvenile analytics refers to the analysis of data related to young populations, aimed at obtaining valuable information to better understand their behaviors, needs, and trends. This field of study focuses on the collection and evaluation of demographic, social, educational, and health data, among others, to identify patterns and generate insights that can influence public policies, educational programs, and marketing strategies. Juvenile analytics is essential in a world where youth represents a significant part of the population and where their decisions and preferences can have a considerable impact on the future. By using data analysis tools, predictive models can be developed to help anticipate changes in youth behavior, thus facilitating informed decision-making. Furthermore, juvenile analytics involves not only data collection but also the interpretation of this data in specific contexts, allowing researchers and professionals in the field to design more effective interventions tailored to the realities of young people. In summary, juvenile analytics is a discipline that combines data science with a social focus, seeking to improve the quality of life and opportunities for younger generations.
