Working with the American community survey in R [electronic resource] : a guide to using the acs package / Ezra Haber Glenn.

Preface; Acknowledgments; Contents; 1 The Dawn of the ACS: The Nature of Estimates; 1.1 Challenges of Estimates in General; 1.2 Challenges of Multi-Year Estimates in Particular; 1.3 Additional Issues in Using ACS Data; 1.4 Putting it All Together: A Brief Example; 2 Getting Started in R; 2.1 Introduction; 2.2 Getting and Installing R; 2.3 Getting and Installing the acs Package; 2.3.1 Installing from cran; 2.3.2 Installing from a Zipped Tarball; 2.4 Getting and Installing a Census API Key; 2.4.1 Using a Blank Key: An Informal Workaround; 3 Working with the New Functions; 3.1 Overview

3.2 User-Specific Geographies3.2.1 Basic Building Blocks: The Single Element geo.set; 3.2.2 But Where's the Data…?; 3.2.3 Real geo.sets: Complex Groups and Combinations; 3.2.4 Changing combine and combine.term; 3.2.5 Nested and Flat geo.sets; 3.2.6 Subsetting geo.sets; 3.2.7 Two Tools to Reduce Frustration in Selecting Geographies; 3.3 Getting Data; 3.3.1 acs.fetch(): The Workhorse Function; 3.3.2 More Descriptive Variable Names: col.names=; 3.3.3 The acs.lookup() Function: Finding the Variables You Want; 4 Exporting Data; 5 Additional Resources

A A Worked Example Using Blockgroup-Level Data and Nested Combined geo.setsA.1 Making the geo.set; A.2 Using combine=T to Make a Neighborhood; A.3 Even More Complex geo.sets; A.4 Gathering Neighborhood Data on Transit Mode-Share; References