In today’s data-driven world, visualization literacy—the ability to understand, interpret, and critically evaluate visual data—has become essential. This thesis proposes the development of a web-based learning tool aimed at improving visualization literacy among non-experts. By integrating different degrees of guidance, the tool seeks to address the gap in learning materials related to Visualization Literacy. The study employs a humancentered design methodology, involving a literature review, design, prototyping, and user testing. Once the tool’s design is validated, an experiment will be conducted to evaluate its effectiveness. Expected outcomes include identifying the most suitable degree of guidance to improve visualization literacy, providing a qualitative analysis of user interactions with the tool, and creating a validated educational resource. This tool aims not only to enhance individual comprehension of visual data but also to contribute to a more informed society capable of making decisions based on accurate data interpretation.