Fondren Library Data Repository for Data Science Education and Experiential Learning

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dc.creatorXiong, Annaen_US
dc.creatorChen, Suen_US
dc.creatorBarber, Catherine R.en_US
dc.creatorSun, Niken_US
dc.creatorQiu, Alisonen_US
dc.creatorLi, Tinaen_US
dc.date.accessioned2023-06-15T17:53:27Zen_US
dc.date.available2023-06-15T17:53:27Zen_US
dc.date.issued2023-06-15en_US
dc.description.abstractThis project piloted a process for creating a repository of interesting, real-world government datasets that are easy to access, beginner-friendly, and suitable for educational use, particularly in data science. The project resulted in three sub-projects, each of which uses one or more open government datasets to demonstrate the data science pipeline. The first sub-project (1_mental_health_project) used the U.S. Census Bureau's Household Pulse survey to explore correlates of mental health during the COVID-19 pandemic. The second sub-project (2_education_demographics_project) used the National Center for Education Statistics' National Household Education Survey and Common Core of Data along with the Texas Education Agency's graduation data to explore relationships among educational outcomes, student and family demographic variables, and county demographic diversity within the 12th grader population. The third sub-project (3_economics_employment_project) used the U.S. Census Bureau's Current Population Survey and a wide range of financial data (COVID-related spending, Medicaid spending, GDP, and minimum wage) to explore the relationship beteen government fiscal relief measures and employment during recessions. The three sub-project folders include clean datasets, code for cleaning and analyzing the data, and interpretation of the results. These materials are suitable for a range of learners within data science, including both novices and those with advanced statistical skills.en_US
dc.description.tableofcontentsReadme file: readme_open_data_repository_project.txt. Nonproprietary project files: 1_mental_health_project.zip -- 2_education_demographics_project.zip -- 3_economics_employment_project.zipen_US
dc.identifier.citationXiong, Anna, Chen, Su, Barber, Catherine R., et al.. "Fondren Library Data Repository for Data Science Education and Experiential Learning." (2023) Rice University: https://doi.org/10.25611/7YE1-A689.en_US
dc.identifier.doihttps://doi.org/10.25611/7YE1-A689en_US
dc.identifier.urihttps://hdl.handle.net/1911/114911en_US
dc.language.isoengen_US
dc.publisherRice Universityen_US
dc.rightsCC0 1.0 Universalen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en_US
dc.titleFondren Library Data Repository for Data Science Education and Experiential Learningen_US
dc.type.dcmiDataseten_US
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