Abstract:
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Presentation of data analysis, especially for big data, must rely on graphics to clearly display patterns and provide evidence of relationships within the data. With clear, concise and meaningful graphics, one can gain insight and share information quickly. This study uses a survey data, survey analysis and a randomized block design. The purpose is to ascertain how well participants answer simple questions when looking at two types of graphics: poorly scaled (crowded) representation of data, or clean, clear and concise representation of data. The first factor under study is whether questions are answered correctly for each type of visualization. The second, and underlying, factor is the time spent examining the visual before answering the questions. The graphics include sports and financial data.
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