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Bridging Art and Data: An Interdisciplinary Approach
This chapter explores the intersection of art, statistics, and interdisciplinary collaboration in data analysis. It highlights the significance of graphical representation, the differences between exploratory and confirmatory science, and the challenges posed by biases in academic publishing. The discussion underscores the necessity for transparency and rigor in research practices, particularly regarding the publication of negative results.