9781526467010 - Quantitative Text Analysis Using R: Scraping, Preparing, Visualising and Modelling Data de Julian Bernauer; Anna Wohlmann (12 resultados)

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Brand New. 232 pages. 9.52x6.69x6.69 inches. In Stock.

Hardcover. Condición: new. Hardcover. Grounded in examples from across the social sciences, this book walks you through the process of doing quantitative text analysis step by step. Clear and accessible, it empowers you to progress from beginner level to understanding and using computational social science concepts with ease. Covering key steps in the research process like ethics, data collection, and model choice, it helps you develop important research skills and equips you with the programming tools you need to handle text data without error.The textbook offers R software guidance at an easy-to-follow pace, the book presents the coding skills you need to collect and prepare data, providing a strong foundation as you move into data analysis. It will: Help you develop key data skills like cleaning, managing, classifying and visualizing data Encourage your ability to be critical and reflective when dealing with data Offer clear guidance on using messy, real-world data and big data from sources like WikipediaSupported by practical online resources including extensive coding examples and software guidance, this book will give you confidence in applying your programming skills and enable you to take control of handling textual data in your own research. This book is for social science students who need to learn the theory of analysis alongside the specifics of the R software package. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: new. Hardcover. Grounded in examples from across the social sciences, this book walks you through the process of doing quantitative text analysis step by step. Clear and accessible, it empowers you to progress from beginner level to understanding and using computational social science concepts with ease. Covering key steps in the research process like ethics, data collection, and model choice, it helps you develop important research skills and equips you with the programming tools you need to handle text data without error.The textbook offers R software guidance at an easy-to-follow pace, the book presents the coding skills you need to collect and prepare data, providing a strong foundation as you move into data analysis. It will: Help you develop key data skills like cleaning, managing, classifying and visualizing data Encourage your ability to be critical and reflective when dealing with data Offer clear guidance on using messy, real-world data and big data from sources like WikipediaSupported by practical online resources including extensive coding examples and software guidance, this book will give you confidence in applying your programming skills and enable you to take control of handling textual data in your own research. This book is for social science students who need to learn the theory of analysis alongside the specifics of the R software package. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condición: new. Hardcover. Grounded in examples from across the social sciences, this book walks you through the process of doing quantitative text analysis step by step. Clear and accessible, it empowers you to progress from beginner level to understanding and using computational social science concepts with ease. Covering key steps in the research process like ethics, data collection, and model choice, it helps you develop important research skills and equips you with the programming tools you need to handle text data without error.The textbook offers R software guidance at an easy-to-follow pace, the book presents the coding skills you need to collect and prepare data, providing a strong foundation as you move into data analysis. It will: Help you develop key data skills like cleaning, managing, classifying and visualizing data Encourage your ability to be critical and reflective when dealing with data Offer clear guidance on using messy, real-world data and big data from sources like WikipediaSupported by practical online resources including extensive coding examples and software guidance, this book will give you confidence in applying your programming skills and enable you to take control of handling textual data in your own research. This book is for social science students who need to learn the theory of analysis alongside the specifics of the R software package. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New. Print on Demand pp. 232 1st edition NO-PA16APR2015-KAP.

Buch. Condición: Neu. Quantitative Text Analysis Using R | Scraping, Preparing, Visualising and Modelling Data | Julian Bernauer (u. a.) | Buch | Englisch | 2025 | SAGE Publications Ltd | EAN 9781526467010 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is for social science students who need to learn the theory of analysis alongside the specifics of the R software package.