Description: Negative values are numbers less than zero, which can be represented in visualizations to show deficits or losses. In data analysis, negative values are crucial for correctly interpreting information, as they can indicate unfavorable situations or undesired outcomes. For example, in various contexts, a negative value may represent a loss rather than a gain, which is essential for making informed decisions. Additionally, negative values can be used in various metrics, such as negative sales growth or a decrease in users on a platform. In graphical visualizations, such as bar or line charts, negative values are often represented below a baseline axis, allowing analysts and stakeholders to quickly identify areas that require attention or improvement. The correct interpretation of these values is fundamental for trend analysis and performance evaluation in different contexts, from business to scientific. In summary, negative values are not just numbers; they represent critical information that can influence strategic and operational decisions.
