In visual discovery, hypotheses that can be tested often relate to identifying patterns, trends, or anomalies in a given data set. For instance, one might hypothesize that a certain trend exists within the data, or that a specific anomaly will occur under certain conditions. The hypothesis could also be about the correlation between different data points or variables. The exact nature of the hypothesis would depend on the specific data set and the questions being explored.
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