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Introductory Data Science Pipeline Activity – Yellow Fever and Global Precipitation

Author(s): Mary Mulcahy

University of Pittsburgh at Bradford

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Summary:
Students follow the steps of a tiny data science project from start to finish. They are given a research question "Are the number of cases of yellow fever associated with global average precipitation?" The students locate the data from the World…

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Students follow the steps of a tiny data science project from start to finish. They are given a research question "Are the number of cases of yellow fever associated with global average precipitation?" The students locate the data from the World Health Organization and Environmental Protection Agency, download it, and use the merged and cleaned data to see whether the evidence supports the hypothesis that yellow fever cases are higher in wetter than drier years. The activity is intended to be used early in a course to prepare introductory students to eventually explore their own questions.

Versions

Version Released DOI Handle Status
1.0 May 15, 2024 10.25334/SP15-ZK40 published view version »