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The resources here aim to introduce you to:

  • the R programming environment,

  • Census Bureau datasets, and

  • basic descriptive statistics and graphics.

We will use R to analyze data from the Census Bureau to create meaningful output.  ​Along the way, we will probably learn a few things about ethnoracial categorization and income in the US.

Getting started

  1. Downloading R and R Studio

  2. Opening a file and playing around with some initial commands

Dealing with two variables (bivariate analysis)

  1. Comparing two groups' respective means

  2. Comparing two groups using rank order

  3. Comparing more than two groups' means

  4. Correlating two measurement level variables using their means

  5. Correlating two measurement level variables when there is heavy skew in at least one variable

  6. Crosstabulating categorical level information

Making output more meaningful (and pretty)

  1. Good frequency tables

  2. Pie charts

  3. Bar charts

  4. Histograms

  5. Boxplots

Measures of social phenomena

  1. Poverty

  2. Segregation

  3. Exposure

  4. Inequality

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