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Название: Urban Informatics: Using Big Data to Understand and Serve Communities
Автор: Daniel T. O’Brien
Издательство: CRC Press
Серия: Data Science Series
Год: 2023
Страниц: 340
Язык: английский
Формат: pdf (true)
Размер: 53.4 MB
Urban Informatics: Using Big Data to Understand and Serve Communities introduces the reader to the tools of data management, analysis, and manipulation using R statistical software. Designed for undergraduate and above level courses, this book is an ideal onramp for the study of urban informatics and how to translate novel data sets into new insights and practical tools. R is an opensource, freeware program for working with data, especially focused on the production of professional quality analyses and visualizations. Given its accessibility, R has grown a large community of users, including some of the world’s leading statisticians and methodologists. These users have contributed in many ways over the years, including debugging and suggesting improvements for R and developing and publishing thousands of packages that expand its capabilities. When statisticians develop a new tool for analysis or visualization, they often build it for R first, giving other R users access to cutting-edge techniques well before they have been incorporated into for-purchase softwares, like SPSS, SAS, or Stata.
Автор: Daniel T. O’Brien
Издательство: CRC Press
Серия: Data Science Series
Год: 2023
Страниц: 340
Язык: английский
Формат: pdf (true)
Размер: 53.4 MB
Urban Informatics: Using Big Data to Understand and Serve Communities introduces the reader to the tools of data management, analysis, and manipulation using R statistical software. Designed for undergraduate and above level courses, this book is an ideal onramp for the study of urban informatics and how to translate novel data sets into new insights and practical tools. R is an opensource, freeware program for working with data, especially focused on the production of professional quality analyses and visualizations. Given its accessibility, R has grown a large community of users, including some of the world’s leading statisticians and methodologists. These users have contributed in many ways over the years, including debugging and suggesting improvements for R and developing and publishing thousands of packages that expand its capabilities. When statisticians develop a new tool for analysis or visualization, they often build it for R first, giving other R users access to cutting-edge techniques well before they have been incorporated into for-purchase softwares, like SPSS, SAS, or Stata.