Analyzing US Census Data: Methods, Maps, and Models in R (Chapman & Hall/CRC The R Series) - Image 1

£52.78

CRC Press Analyzing US Census Data: Methods, Maps, and Models in R (Chapman & Hall/CRC The R Series)

Name: Analyzing US Census Data: Methods, Maps, and Models in R (Chapman & Hall/CRC The R Series)
Brand: CRC Press
Price: 52.78 GBP
Availability: InStock

Data Mining

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Description

Census data is 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 and shows how to carry out demographic analyses in a single computing environment. Chapters in this book cover the following key topics: • Rapidly acquiring data from the decennial US Census and American Community Survey using R, then analyzing these datasets using tidyverse tools; • Visualizing US Census data with a wide range of methods including charts in ggplot2 as well as both static and interactive maps; • Using R as a geographic information system (GIS) to manage, analyze, and model spatial demographic data from the US Census; • Working with and modeling individual-level microdata from the American Community Survey’s PUMS datasets; • Applying these tools and workflows to the analysis of historical Census data, other US government datasets, and international Census data from countries like Canada, Brazil, Kenya, and Mexico.

Product Specifications

Brand: CRC Press
Format: paperback
ASIN: 1032366443
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 16 February 2023
Listed Since: 05 May 2022

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CRC Press Analyzing US Census Data: Methods, Maps, and Models in R (Chapman & Hall/CRC The R Series)

About as cheap as it gets. The only time it was cheaper was 2 months ago.

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