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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Detalles Bibliográficos
Autor principal: International Food Policy Research Institute
Formato: Training Material
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2018
Materias:
Acceso en línea:https://hdl.handle.net/10568/146576
Descripción
Sumario: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.