Open Source Programming Courses
Access and Analyze the New 2020 Decennial Census Data
Analysts interested in a step-by-step introduction to R’s tools for working with 2020 Decennial Census data.
Students must have R.
- Foundations
- Getting started with tidycensus
- Working with the DHC and DP files
- Exploring Census data with tidyverse tools
- Building analytic visualizations
- Advanced workflows
- Analyzing change over time
- Building population pyramids
- Interactive charting with ggiraph
In this 2.5 hour workshop, you’ll learn how to access and analyze brand-new data from the 2020 Decennial Census using R and tidycensus. The Demographic and Housing Characteristics (DHC) file, released on May 25, includes our first look at detailed age, sex, and household characteristics from the 2020 Census all the way down to the Census block.
In the first hour, you’ll be introduced to brand-new functionality in tidycensus to seamlessly access the new Census data within R. You’ll get unique tips on the tidycensus R package, a powerful tool to make your work with Census data easier, and you’ll be the first to gain insights into working with the new DHC file.
The second hour covers data analysis and visualization with the 2020 Decennial Census data. Learn how to use tidyverse tools to uncover insights in the new Census data, and create sophisticated data visualizations like population pyramids for your projects using R.
The last 30 minutes were a question-and-answer session where live participants asked a variety of R and tidycensus-related questions.
What you get:
- Unlimited access to the workshop video, so you can learn at your own pace
- An annotated tutorial on analyzing 2020 Census data in R, with insights not found anywhere else
- The Quarto and R source code behind the workshop to help you learn these skills yourselves
None at this time.
None at this time.
Don’t want to purchase online? You can also register for classes using our registration form.
This course made it less intimidating to switch from ArcMap to ArcGIS Pro. So glad I attended.
Student, Idaho State Tax Commission
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
Definitely got me "over the hump" of being able to grasp Python.
Joseph Monti
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.
I have attended a number of instructor-led training courses offered by ESRI, which are great in their own right, but the Mastering the ArcGIS Server JavaScript API course gets much more in-depth than they often do. I really liked the recommended reading, they helped expand the terms being covered in lecture to concrete examples that could be related back to my work more directly instead of just having the lecture and exercises alone. I learned a lot andwill recommend this and other GeoSpatial Training courses to the GIS'ers I know. Thanks for putting this course together and offering it.
Jason Warzinik, Boone County, MO
Really good course material. Very relevant subject matter.
Michael Philp, City of Springville, UT
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