{"title":"Divvying Up Data: A Data Analytics Case","authors":"Suzanne M. Seymoure, Michael E. Ozlanski","doi":"10.2308/issues-2021-077","DOIUrl":null,"url":null,"abstract":"ABSTRACT This case asks students to assume the role of a newly hired (data) analyst for Divvy, Chicago’s bike share program. In this role, they use data analytics software to perform data analysis and data visualization techniques. This case can be implemented in multiple parts, and it is scalable for the unique needs of instructors and their students. Introductory topics include assessing the properties of the data, describing data validation techniques, creating calculated variables, and constructing basic data visualizations. Advanced topics include joining additional data sources, developing and investigating research questions, and creating dashboards to tell a meaningful story about the data. The case is unique because it enables students to interact with a large, real-world dataset, and it is ideal for accounting information systems or data analytics courses.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2308/issues-2021-077","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACT This case asks students to assume the role of a newly hired (data) analyst for Divvy, Chicago’s bike share program. In this role, they use data analytics software to perform data analysis and data visualization techniques. This case can be implemented in multiple parts, and it is scalable for the unique needs of instructors and their students. Introductory topics include assessing the properties of the data, describing data validation techniques, creating calculated variables, and constructing basic data visualizations. Advanced topics include joining additional data sources, developing and investigating research questions, and creating dashboards to tell a meaningful story about the data. The case is unique because it enables students to interact with a large, real-world dataset, and it is ideal for accounting information systems or data analytics courses.
期刊介绍：
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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