{"title":"R中的会计数据分析:使用Tidyverse的案例研究","authors":"M. Islam, Nusrat Farah, Tawei Wang","doi":"10.2308/jeta-2021-023","DOIUrl":null,"url":null,"abstract":"\n Data analytics (DA) has gained widespread attention in accounting and auditing recently. Despite the significant potential presented by DA programming languages such as R and Python, their application remains limited. This study presents the tidyverse approach of R for DA in the field of accounting. This approach can greatly benefit undergraduate or graduate accounting students without any coding knowledge. In addition, a teaching case suitable for auditing, accounting information systems, or accounting/auditing analytics classes is presented for instructors to adopt in their courses. Evidence from classrooms suggests that this approach is effective in teaching R for DA and in introducing advanced DA tools for the next generation of accountants.\n JEL Classifications: C8; Y1.","PeriodicalId":45427,"journal":{"name":"Journal of Emerging Technologies in Accounting","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accounting Data Analytics in R: A Case Study Using Tidyverse\",\"authors\":\"M. Islam, Nusrat Farah, Tawei Wang\",\"doi\":\"10.2308/jeta-2021-023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Data analytics (DA) has gained widespread attention in accounting and auditing recently. Despite the significant potential presented by DA programming languages such as R and Python, their application remains limited. This study presents the tidyverse approach of R for DA in the field of accounting. This approach can greatly benefit undergraduate or graduate accounting students without any coding knowledge. In addition, a teaching case suitable for auditing, accounting information systems, or accounting/auditing analytics classes is presented for instructors to adopt in their courses. Evidence from classrooms suggests that this approach is effective in teaching R for DA and in introducing advanced DA tools for the next generation of accountants.\\n JEL Classifications: C8; Y1.\",\"PeriodicalId\":45427,\"journal\":{\"name\":\"Journal of Emerging Technologies in Accounting\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Emerging Technologies in Accounting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2308/jeta-2021-023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Emerging Technologies in Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2308/jeta-2021-023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Accounting Data Analytics in R: A Case Study Using Tidyverse
Data analytics (DA) has gained widespread attention in accounting and auditing recently. Despite the significant potential presented by DA programming languages such as R and Python, their application remains limited. This study presents the tidyverse approach of R for DA in the field of accounting. This approach can greatly benefit undergraduate or graduate accounting students without any coding knowledge. In addition, a teaching case suitable for auditing, accounting information systems, or accounting/auditing analytics classes is presented for instructors to adopt in their courses. Evidence from classrooms suggests that this approach is effective in teaching R for DA and in introducing advanced DA tools for the next generation of accountants.
JEL Classifications: C8; Y1.