Exploring and Visualizing Census Data with R


In this class you will learn how to use R with the tidycensus and tidyverse packages to explore and visualize US Census data.

Learn to Visualize Census Data with R

tidycensus is an R package that allows users to interface with the US Census Bureau’s decennial Census and five-year American Community APIs and return tidyverse-ready data frames, optionally with simple feature geometry included. tidycensus is designed to help R users get Census data that is pre-prepared for exploration within the tidyverse, and optionally spatially with the sf package.

If your work involves the use of data from the US Census Bureau and would like to use R to explore, manipulate, and visualize these datasets, the tidycensus and tidyverse packages are great tools for accomplishing these tasks. Beyond this, the sf package now allows R users to work with spatial data in an integrated way with tidyverse tools, and updates to the tigris package provide access to Census boundary data as sf objects.

This course will also allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data visualization in chart, graph, and map formats. The student will learn the language and applications through examples and practice.  No prior programming skills are required.

Course Modules

  • Module 1: Introduction to R
  • Module 2: Introduction to Tidyverse and Tidycensus
  • Module 3: Loading Census Data
  • Module 4: Attaching Census Data to Shapefiles
  • Module 5: Census Data Exploration
  • Module 6: Census Data Visualization (Charts, Graphs, Maps)

None at this time

Class will be held each day from 9:00 – 4:00 at the location provided above.

None at this time



Add instructor support for this class below for $100.  Support is provided by email, chat sessions, or phone.


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Our self-paced classes are delivered through our online training platform. You will be emailed instructions for creating a login and activating your course. All lectures are pre-recorded so you can progress through the course at your own pace. The same applies to the exercise. The course does not have an expiration date.

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