Data visualization is a technique used in quantitative research to present data in a visual format, such as charts, graphs, and maps. It helps researchers to understand patterns, trends, and relationships within the data more easily. By representing data visually, complex information can be simplified and communicated effectively to a wider audience. Data visualization also allows for the identification of outliers, anomalies, and potential errors in the data, enabling researchers to make more accurate interpretations and draw meaningful conclusions. Additionally, data visualization can aid in the exploration of large datasets, facilitating the discovery of insights and supporting decision-making processes.