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Abstract:
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Reproducibility is well within reach for applied statisticians and data scientists, due to the nature of what we do and the availability of some fantastic tools, both new and old. However, it still requires concerted effort to master these tools and adopt new workflows. Reproducibility doesn't have to be all or nothing and we need to promote a wide variety of solutions that are relevant to analysts of diverse backgrounds. I have a special interest in exploring our love/hate relationship with spreadsheets. Where do they fit in?
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