Analyzing Us Census Data
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Analyzing US Census Data
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. Chapters in the book cover 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 analysis of historical Census data, other US government datasets, and international Census data from countries like Canada, Brazil, Kenya, and Mexico.
Analyzing US Census Data
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.
Analyzing the U.S. Content of Imports and the Foreign Content of Exports
Author: National Research Council
language: en
Publisher: National Academies Press
Release Date: 2006-04-27
Mass media has frequently covered stories concerning "outsourcing" or the moving of U.S. jobs to foreign locations by U.S. multinational companies. More often than not this "outsourcing" is of benefit to the companies' owners and managers. The discussion has spilled over into the political debate with candidates for national office making statements and suggesting policies for dealing with the issue. Due to the fact that many companies have fragmented the production process, however, it is difficult to examine the effect of "outsourcing"- the transfer of a business function from inside a firm to an outside source, with no reference to borders of countries- and "offshoring"-the movement of jobs that had been in the United States to a foreign location, without regard to business ownership- on the U.S. as many imports contain U.S. parts and many exports contain foreign parts. In the current situation, Congress mandated a study by the National Research Council, which was undertaken by the Committee on Analyzing the U.S. Content of Imports and the Foreign Content of Exports under a contract with the U.S. Department of Commerce. Analyzing the U.S. Content of Imports and the Foreign Content of Exports presents the findings of the committee.The committee refers to the availability and quality of data on the foreign content of U.S. exports and the domestic content of U.S. imports as "the content question." This was not been an easy task as data on actual content simply do not exist.