Literaturnachweis - Detailanzeige
| Autor/in | Snyder, Johnny |
|---|---|
| Titel | Data Cleansing: An Omission from Data Analytics Coursework |
| Quelle | In: Information Systems Education Journal, 17 (2019) 6, S.22-29 (8 Seiten)
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1545-679X |
| Schlagwörter | Data Analysis; Error Patterns; Data Collection; Spreadsheets; Data Use; Business Administration Education; Introductory Courses; Data Processing; Statistics |
| Abstract | Quantitative decision making (management science, business statistics) textbooks rarely address data cleansing issues, rather, these textbooks come with neat, clean, well-formatted data sets for the student to perform analysis on. However, with a majority of the data analyst's time spent on gathering, cleaning, and pre-conditioning data, students need to be trained on what to look for when generating or receiving data. A critical scan of the data needs to be performed (at a minimum) to look for errors in the data set before data analysis can be performed. (As Provided). |
| Anmerkungen | Information Systems and Computing Academic Professionals. Box 488, Wrightsville Beach, NC 28480. e-mail: publisher@isedj.org; Web site: http://isedj.org |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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