Kyle Walker
Analyzing US Census Data: Methods, Maps, and Models in R
Analyzing US Census Data: Methods, Maps, and Models in R
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- More about Analyzing US Census Data: Methods, Maps, and Models in R
R provides easy access to US Census Bureau geographic and demographic data for analysis and visualization. The tidyverse and sf packages make it easy to work with Census data, including margins of error in the American Community Survey.
Format: Hardback
Length: 352 pages
Publication date: 16 February 2023
Publisher: Taylor & Francis Ltd
The R programming language provides a seamless interface to access the vast geographic and demographic data resources of the US Census Bureau. With the help of the tidyverse tools, users can effortlessly wrangle Census data, analyze margins of error in the American Community Survey, create visually appealing maps and interactive web visualizations using US Census data, and employ spatial analysis techniques with the sf package to explore Census data in a spatial context. Furthermore, users can integrate Census data into spatial and machine learning models to gain deeper insights and make informed decisions.
Access US Census Bureau geographic and demographic data directly within R.
The R programming language offers a seamless interface to tap into the vast geographic and demographic data resources of the US Census Bureau. By leveraging the powerful tidyverse tools, users can effortlessly wrangle Census data, conduct comprehensive analysis of margins of error in the American Community Survey, create visually appealing maps and interactive web visualizations utilizing US Census data, and employ spatial analysis techniques with the sf package to explore Census data in a spatial context.
Furthermore, users can integrate Census data into spatial and machine learning models to gain deeper insights and make informed decisions.
Weight: 841g
Dimension: 254 x 178 (mm)
ISBN-13: 9781138560789
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