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...

Full description

Bibliographic Details
Main Author: International Food Policy Research Institute
Format: Training Material
Language:Inglés
Published: International Food Policy Research Institute 2018
Subjects:
Online Access:https://hdl.handle.net/10568/146576
Description
Summary: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.