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“This course is a short, clear, and comforting way to get started with R starting with installing the package and opening a dataset to viewing data and defining missings and variable types. I highly recommend it if you plan to start using R.
“Very nice explanations and easy to follow. ThankYou!
“I had dabbled in R a number of years ago and needed to get a refresher of the basics before getting back into coding and data analysis using R. Getting Started With R was excellent as a refresher and would be just as good for those starting out. The videos are easy to follow and they provide practical examples to follow along. I would recommend to anyone looking to understand R
“This is the best R lesson for all beginners. Best Tutor :)
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“I would recommend this course WITHOUT hesitation!! It has helped me so much!! Absolutely encourage signing up for it.
“David, Just a note to say thank you for a clear, concise and straightforward approach to R. Shout out to Chris Garmon, University of Missouri-Kansas City, MO professor in graduate school course, Research Methods in Public Administration for steering students to your free, easily understandable course. You do a great job taking the scariness out of R by taking us step by step through learning how to use R and explaining the power R has in being able to tell a story through data and analyzing information to make decisions. Professor Garmon told us that The Washington Post uses R for it's data and that's quite a seal of approval. Thanks again for a great course. Bernita Cauthon, Kansas City, Missouri
“The many hours I've spent in front of my computer crunching this data in R has me wondering why I ever did anything else with my life.
“This course helped our office and myself grow. David is a great teacher and his videos are very easy to follow along and by letting us use our own data, we are able to see for ourselves where we need to grow and what to accomplish.
“This was so informative! I appreciate all of the help!
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Childhood Bereavement Estimation Model Reports
Judi’s House/JAG Institute, a nonprofit in Colorado, provides support regarding childhood bereavement. In 2018, they created the Childhood Bereavement Estimation Model® (CBEM) to estimate rates of children losing a parent or sibling before adulthood. Annual CBEM reports were produced, but racial and ethnic data breakdowns were lacking until 2021. Partnering with R for the Rest of Us, they generated high-quality, easy-to-understand reports on bereavement disparities by race and ethnicity. These national and state-level reports, created using parameterized reporting and RMarkdown, help advance their vision that no child should be alone in grief.
Immunization Agenda 2030 Reports
The World Health Organization's Immunization Agenda 2030 (IA2030) aims to improve global vaccine access. To better report progress, the International Vaccine Access Center at Johns Hopkins University partnered with R for the Rest of Us in 2023. They produced 72 user-friendly country-level reports in English and French, using parameterized reporting. These reports highlight individual country progress, use less technical language than previous online scorecards, and are in a printable PDF format for review.
Improving R Training for NOAA Fisheries West Coast Region
NOAA Fisheries West Coast region (NOAA WCR) aims to maintain healthy fish populations along the west coast, with offices in California, Oregon, and Washington. Recently, they have increased their use of R, arranging internal trainings and seeking additional support in 2024 from R for the Rest of Us. They created a 6-week training program focusing on R fundamentals, advanced R topics, and GitHub integration. By the end, NOAA WCR staff efficiently produced technical memoranda and improved their workflows using R and Quarto.
Blog
Blog
Learn to use the most powerful tool for working with data.
Even if you've never coded before.
How to make heatmaps in ggplot
May 1, 2025
Heatmaps are a common way of representing data. In this blog post, I'll show you how to make your own heatmaps using ggplot. In the process, you'll learn a bit about working with the {sf} package, specifically the st_make_grid() function to make a grid, the st_intersection() function to clip the boundaries of your geography to the grid you create, and st_join() to do spatial joins. This blog post is adapted from a lesson in the Mapping with R course . If you want to learn to make heatmaps...
Use shadows in ggplot to highlight findings
April 24, 2025
In our consulting work, we make a lot of the data visualization for parameterized reporting . It’s something I spoke about in my 2024 Cascadia R Conf talk, How to Make a Thousand Plots Look Good: Data Viz Tips for Parameterized Reporting . One example I gave in this talk came from our work with the Johns Hopkins International Vaccine Access Center and the World Health Organization . In this project, we made reports for the Immunization Agenda 2030 project, which tracks the progress countries...
Create your own custom {ggplot2} theme
April 3, 2025
Creating custom themes in {ggplot2} lets you elevate your data visualizations from standard to standout. Whether you’re aiming for a polished, brand-consistent look for your organization or a unique aesthetic that reflects your personal style, a custom theme function makes it easy to apply your design to all figures with a single line of code. In this tutorial, we’ll cover: the essentials of the powerful ggplot2::theme() function, including how to adjust fonts, colors, sizing, and spacing;...