Description: Variable analysis is a fundamental process in the fields of data science, AutoML, and Business Intelligence (BI) tools. It refers to the examination of different variables in a dataset to understand their impact and relationship with other variables. This analysis allows analysts and data scientists to identify patterns, trends, and correlations that can be crucial for informed decision-making. Through statistical techniques and machine learning algorithms, both independent and dependent variables can be evaluated, facilitating the understanding of how certain factors influence outcomes. Additionally, variable analysis is essential for data cleaning and preparation, as it helps detect outliers and errors that could affect the quality of predictive models. In the context of AutoML, variable analysis is automated, enabling users without technical expertise to perform complex analyses efficiently. In BI tools, this analysis translates into interactive visualizations that allow users to explore data intuitively, enhancing analytical capabilities and report presentation.
