Overview

This book focuses on the process of preparing raw data for analysis—commonly known as data cleaning. It covers a range of topics including data compilation, variable naming and labeling, data examination, and variable re-coding and transformations, among others. Two example projects and datasets are used to illustrate the methods in the book, and the datasets, script files, and output files in both R and Stata are available to download from the accompanying website.

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9781071919569

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Author Information

Bianca Manago is an Assistant Professor of Sociology at Vanderbilt University. She has taught both graduate and undergraduate statistics courses and has also taught workshops on data cleaning and workflow for Statistical Horizons. She received her doctorate in sociology and master’s in applied statistics from Indiana University. She also has a master’s in sociology and undergraduate degrees in sociology and philosophy from Texas A&M University.

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