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Urban Informatics: Using Big Data to Understand and Serve Communities (Chapman & Hall/CRC Data Science Series)

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Book Details:

  • Book Title: Data Management and Analysis with R: Introduction to Urban Informatics

  • Author: Daniel T. O'Brien

  • Publisher: CRC Press

  • Language: English

  • ISBN: 9781032264592

  • Pages: 336

  • Binding: Paperback

  • Edition: 1

  • Release Date: 02-11-2022

  • Package Dimensions: 10.0 x 7.0 x 0.7 inches

About the Book:

Data Management and Analysis with R: Introduction to Urban Informatics by Daniel T. O'Brien serves as a comprehensive guide for students, researchers, and practitioners interested in the tools of data management and analysis using R statistical software. Tailored for undergraduate students and beyond, this book provides a thorough introduction to urban informatics, helping readers translate complex, novel data sets into practical insights and tools.

The book focuses on the use of R in managing and analyzing data relevant to urban contexts, with applications ranging from infrastructure management to socio-economic analysis. Its hands-on approach makes it ideal for courses and research projects that aim to address urban challenges through data-driven methods.

Key Features:

  • Practical Introduction to R: Provides essential tools for data management, manipulation, and analysis using R software.

  • Urban Informatics Focus: Demonstrates how to use data to create insights into urban issues and contribute to decision-making in urban development.

  • Suitable for Students and Professionals: Ideal for courses at the undergraduate level and above, as well as for practitioners in fields like urban planning, data science, and public policy.

  • Clear and Accessible: Approaches data analysis in an easy-to-understand manner, with practical examples that emphasize real-world applications.

Review:
This book is an invaluable resource for those looking to harness the power of R for urban data analysis. Its practical focus on urban informatics makes it a must-read for students and professionals interested in using data to drive urban development and innovation.