Visual presentation of statistics plays a critical role in research work as it transforms complex numerical data into a form that is easily understandable and interpretable. In business research, where decisions often rely on data-driven insights, presenting statistical information visually enables researchers, managers, and stakeholders to quickly grasp patterns, trends, and relationships within the data. A well-constructed visual representation, such as charts, graphs, or infographics, conveys information more effectively than textual or tabular data alone, reducing cognitive load and minimizing the risk of misinterpretation. One of the primary significances of visual presentation is clarity. Large datasets can be overwhelming when presented as raw numbers in tables. For example, in consumer behavior research, survey responses from hundreds or thousands of respondents can be condensed into bar charts or pie charts to show the distribution of preferences across different product categories. This allows decision-makers to identify the most preferred products or services instantly, which would be far