This thesis addresses the issue of misleading charts, which can influence individuals' opinions and decisions, through data manipulation. To tackle this problem, we developed a website that includes theoretical content aimed at educating users about various types of charts and potential manipulations. After reviewing the content, users can reinforce their knowledge by taking an interactive quiz. Additionally, they can assess their level of data literacy through a test that evaluates their ability to correctly interpret charts. The final product of the thesis is a website that enhances user awareness, encourages more informed and thoughtful decision-making, and improves users' understanding and critical analysis skills regarding charts.
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