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Название: Analyzing US Census dаta: Methods, Maps, and Models in R
Автор: Kyle Walker
Издательство: CRC Press
Серия: The R Series
Год: 2023
Страниц: 378
Язык: английский
Формат: pdf (true)
Размер: 147.7 MB
Census data are widely used by practitioners to understand demographic change, allocate resources, address inequalities, and make sound business decisions. Until recently, projects using US Census data have required proficiency with multiple web interfaces and software platforms to prepare, map, and present data products. This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment. R is one of the most popular programming languages and software environments for statistical computing and is the focus of this book with respect to software applications. This section introduces some basics of working with R and covers some terminology that will help readers work through the sections of this book. The tidyverse ecosystem developed by RStudio is one of the most popular frameworks for data analysis in R and attempts to respond to problems introduced by package fragmentation. The tidyverse consists of a series of R packages designed to address common data analysis tasks (data wrangling, data reshaping, and data visualization, among many others) using a consistent syntax.
Автор: Kyle Walker
Издательство: CRC Press
Серия: The R Series
Год: 2023
Страниц: 378
Язык: английский
Формат: pdf (true)
Размер: 147.7 MB
Census data are widely used by practitioners to understand demographic change, allocate resources, address inequalities, and make sound business decisions. Until recently, projects using US Census data have required proficiency with multiple web interfaces and software platforms to prepare, map, and present data products. This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment. R is one of the most popular programming languages and software environments for statistical computing and is the focus of this book with respect to software applications. This section introduces some basics of working with R and covers some terminology that will help readers work through the sections of this book. The tidyverse ecosystem developed by RStudio is one of the most popular frameworks for data analysis in R and attempts to respond to problems introduced by package fragmentation. The tidyverse consists of a series of R packages designed to address common data analysis tasks (data wrangling, data reshaping, and data visualization, among many others) using a consistent syntax.