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Peng Zhao

Working with Data in Public Health: A Practical Pathway with R

Working with Data in Public Health: A Practical Pathway with R

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  • More about Working with Data in Public Health: A Practical Pathway with R


This book is a practical guide to processing data in public health with R, featuring examples, scripts, and graphs to help readers understand data processing principles and procedures. It also introduces popular and novel R packages in public health.

Format: Hardback
Length: 194 pages
Publication date: 30 March 2023
Publisher: Springer Verlag, Singapore


This comprehensive guide offers a thorough and practical approach to processing data in public health using the R language. Drawing from the authors extensive research and teaching experiences, this book serves as a valuable resource for both undergraduate and graduate students in the field of public health, as well as a self-study guide for individuals seeking to enhance their data analysis skills.

The book is organized into clear and concise chapters, each dedicated to a specific aspect of data processing in public health. Each chapter includes numerous real-world examples, accompanied by comprehensive source data, R scripts, and graphs. These examples not only illustrate the theoretical concepts but also provide readers with a hands-on experience in applying R to analyze and interpret public health data.

Furthermore, the book offers detailed explanations and step-by-step instructions that make it easy for readers to reproduce the data processing techniques discussed. This hands-on approach allows readers to gain a deeper understanding of the principles and procedures involved in data analysis, enabling them to apply these skills to their own research and practice.

In addition to covering the core R functionalities, the book also introduces popular and novel R packages specifically designed for public health applications. These packages provide a wide range of tools and functions that facilitate data analysis, visualization, and statistical modeling, enabling researchers to explore complex public health datasets and uncover valuable insights.

By providing a comprehensive and accessible guide to data processing in public health with R, this book serves as an essential resource for students, researchers, and practitioners in the field. Its practical approach, coupled with real-world examples and detailed explanations, makes it an invaluable tool for anyone seeking to advance their knowledge and expertise in public health data analysis.

Weight: 483g
Dimension: 235 x 155 (mm)
ISBN-13: 9789819901340
Edition number: 1st ed. 2023

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