A guide to data cleaning using Stata
In order to provide a comprehensive view of the multiple stages involved in a rigorous data cleaning process, this manual is divided into four chapters. Chapter 1 starts by listing the terms and definitions which the user is expected to be familiar with. Then, it provides the motivation for using St...
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| Format: | Training Material |
| Language: | Inglés |
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International Food Policy Research Institute
2018
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| Online Access: | https://hdl.handle.net/10568/146576 |
| _version_ | 1855525141230911488 |
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| author | International Food Policy Research Institute |
| author_browse | International Food Policy Research Institute |
| author_facet | International Food Policy Research Institute |
| author_sort | International Food Policy Research Institute |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | In order to provide a comprehensive view of the multiple stages involved in a rigorous data cleaning process, this manual is divided into four chapters. Chapter 1 starts by listing the terms and definitions which the user is expected to be familiar with. Then, it provides the motivation for using Stata in general but also for performing data cleaning in particular. It concludes with a description of the basic syntax and commands in Stata. Chapter 2 provides an overview of the strategies used in the cleaning of string variables. Chapter 3 focuses on numeric variables and the various ways to label, describe, clean, analyze, detect and correct problems. Chapter 4 combines all the pieces together and presents a strategy to data cleaning. |
| format | Training Material |
| id | CGSpace146576 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1465762025-11-06T06:12:20Z A guide to data cleaning using Stata International Food Policy Research Institute data analysis In order to provide a comprehensive view of the multiple stages involved in a rigorous data cleaning process, this manual is divided into four chapters. Chapter 1 starts by listing the terms and definitions which the user is expected to be familiar with. Then, it provides the motivation for using Stata in general but also for performing data cleaning in particular. It concludes with a description of the basic syntax and commands in Stata. Chapter 2 provides an overview of the strategies used in the cleaning of string variables. Chapter 3 focuses on numeric variables and the various ways to label, describe, clean, analyze, detect and correct problems. Chapter 4 combines all the pieces together and presents a strategy to data cleaning. 2018-02-14 2024-06-21T09:07:35Z 2024-06-21T09:07:35Z Training Material https://hdl.handle.net/10568/146576 en Open Access application/pdf International Food Policy Research Institute IFPRI. 2018. A guide to data cleaning using Stata. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/146576 |
| spellingShingle | data analysis International Food Policy Research Institute A guide to data cleaning using Stata |
| title | A guide to data cleaning using Stata |
| title_full | A guide to data cleaning using Stata |
| title_fullStr | A guide to data cleaning using Stata |
| title_full_unstemmed | A guide to data cleaning using Stata |
| title_short | A guide to data cleaning using Stata |
| title_sort | guide to data cleaning using stata |
| topic | data analysis |
| url | https://hdl.handle.net/10568/146576 |
| work_keys_str_mv | AT internationalfoodpolicyresearchinstitute aguidetodatacleaningusingstata AT internationalfoodpolicyresearchinstitute guidetodatacleaningusingstata |