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)
In this class you will learn how to use R with the tidycensus and tidyverse packages to explore and visualize US Census data.
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.
Live Online Classes
None at this time.
In Person Classes
None at this time.
Add instructor support for this class below for $100. Support is provided by email, chat sessions, or phone.
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.
Don’t want to purchase online? You can also register for classes using our registration form.
Knowledgeable instructor, well paced class, applicable information covered, hands-on style.
Brandon Clark, Alabama Power
I strongly and highly recommend it
Matt Gubitosa, U.S. EPA
I really enjoyed the Python/ArcGIS course. For me the right balance between detail and overview. Good work!
Pal Herman Sund
I thought the course was very organized. The style of presentation and the lesson format worked well together. It made the information easy to understand. -
Kyle Lockhart, Escambia County, FL
Class was well organized, well paced and I learned a lot.
Aleeta Zeller, Chattanooga RPA
These courses are great. I am so pressed for time this is the only way I can acquire extra skills these days. Thank you Eric for all your hard work!
Chris Hickin, NYC Fire Dept.
Jason Warzinik, Boone County, MO
Really good course material. Very relevant subject matter.
Michael Philp, City of Springville, UT
Definitely got me "over the hump" of being able to grasp Python.
Very informative and knowledgeable course. It help determine which direction I should take my further GIS and web programming skills.
Chris Pollard, Delaware Valley Regional Planning Commission
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