Analyzing US census data : methods, maps, and models in R
Author(s)
Bibliographic Information
Analyzing US census data : methods, maps, and models in R
（The R series）（A Chapman & Hall book）
CRC Press, 2023
- : pbk
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Note
Includes bibliographical references (p. 345-351) and index
Description and Table of Contents
Description
Access US Census Bureau geographic and demographic data directly within R.
Wrangle Census data with tidyverse tools and work with margins of error in the American Community Survey.
Make maps and interactive web visualizations with US Census data.
Explore Census data with spatial analysis using the sf package.
Integrate Census data into spatial and machine learning models.
Table of Contents
1. The United States Census and the R programming language 2. An introduction to tidycensus 3. Wrangling Census data with tidyverse tools 4. Exploring US Census data with visualization 5. Census geographic data and applications in R 6. Mapping Census data with R 7. Spatial analysis with US Census data 8. Modeling US Census data 9. Introduction to Census microdata 10. Analyzing Census microdata 11. Other Census and government data resources 12. Working with Census data outside the United States 13. Conclusion
by "Nielsen BookData"
