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. Author Bianca Manago discusses best practices for data preparation and analysis, emphasizing the importance of prioritizing transparency, best practices for writing script files, and file naming and organization. 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. This book focuses on the process of preparing raw data for analysiscommonly 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781071919569
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Paperback. Etat : new. Paperback. This book focuses on the process of preparing raw data for analysiscommonly 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781071919569
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Paperback. Etat : new. Paperback. This book focuses on the process of preparing raw data for analysiscommonly 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781071919569
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