Data visualization in web applications, while powerful, carries several significant risks. One major concern is misrepresentation of data, where poorly designed charts or skewed scales can lead to incorrect conclusions or manipulate user perception. There are also substantial security vulnerabilities; interactive visualizations often involve client-side processing of potentially sensitive data, making them susceptible to cross-site scripting (XSS) attacks or data leakage if not properly secured. Furthermore, performance bottlenecks can arise from rendering complex datasets, leading to slow loading times and a poor user experience, especially on mobile devices or with large volumes of data. Accessibility issues are another critical risk, as visualizations might not be comprehensible to users with disabilities without proper alternative text or accessible design considerations. Finally, there are ethical implications regarding data privacy and the potential for misuse, such as discriminatory insights or invasion of privacy, if data sources are not handled responsibly. More details: https://www.tomergabel.com/ct.ashx?id=08ee53ca-6d1a-4406-a7c4-579f6414db2a&url=https://infoguide.com.ua/