Teaching With the Census

In this course series, learn how to access, import, visualize, prepare, and analyze U.S. Census Bureau data in SAS Studio. SAS studio lets you generate code, use predefined tasks or build custom tasks to access, join, filter, sort, prepare and analyze data. Once you access and import Census Bureau data into SAS Studio, you can access data files, tables and libraries from a single, customizable interface. This is a six video series with tutorial notes, instructions and practice exercises/

This course introduces the "RankingProject" package in R, which accompanies "A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals" (Wright, Klein, and Wieczorek, 2018). In comparing a collection of K populations, it is common practice to display K confidence intervals (CIs) for the corresponding population parameters on a single graph. For a pair of CIs that do (or do not) overlap, many viewers find it natural to declare that there is not (or there is) a statistically significant difference between the two corresponding parameters, even though it is well known that this interpretation is not strictly correct.

This course will show how to use Excel to access, manipulate, and visualize Census data. It will also cover tools for doing advanced statistical analysis. It includes four modules.

This course will teach you how to visualize data from the US Census Bureau’s American Community Survey (ACS) using the R package Choroplethr.

The introduction will teach you the necessary prerequisites: how to install R, RStudio and the choroplethr package. The module Choroplethr Basics will teach you how to map data in R using the choroplethr package. You will learn how to map a sample dataset, as well as how to customize the map.

One in a series, Host, Eric Newburger uses graphics, pictures and interesting stories to illustrate the use of a picture to help answer the three questions of statistics: How big is it? What difference does it make? And, are you sure that's not just dumb luck? Many of the examples use Census data.