Ford Johnson
  • Portfolio

Welcome! Explore my contributions to the TidyTuesday project and check out the code here.

On this page

  • What is TidyTuesday?
    • ggplot2 in action
  • Visual Gallery

What is TidyTuesday?

TidyTuesday is a weekly data visualization and analysis challenge designed to encourage the use of R and the tidyverse. Each week, participants work with publicly available datasets to create compelling visuals, uncover insights, and improve their data wrangling and storytelling skills while sharing their work with the community.

ggplot2 in action

Watch how a simple ggplot evolves into a customized, polished visualization. These examples showcase the creative process of enhancing plain plots with thoughtful design choices, transforming raw data into impactful visuals.

Visual Gallery

Take a look at some of my TidyTuesday visuals from each year, showcasing weekly datasets turned into engaging visuals using R.

2025

Atlanta Crime Visualization using small multiples showing MoM % Change in the top 16 crimes from 2021-2024 Posit Conference Talks Himalayan Expeditions Water Insecurity Data Simpsons Character Data Agencies from the FBI Crime Data API Long Beach Animal Shelter Treemap showing the color frequency of Pokemon by their primary type U.S. map colored by state, showing median emergency department wait times in minutes.

2024

NHL Player Birthplaces

2023

RFID Tracking Birds Data Visualization Art History Analysis TV Show 'Alone' Data Cats Dataset Stock Market Trends Age Gaps in Relationships Bob Ross Painting Data African Languages Numbat Population European Drug Use Programming Language Popularity World Timezones Soccer Data Egg Production Crop Production Trends London Marathon Data Portal Project Child Care Statistics Tornado Occurrences Squirrel Census Data Oldest Living People Global Energy Data SAFI Survey Data UFO Sightings US Population Places Historical Markers Global Temperature Trends GPT Model Analysis Scurvy Data Analysis US States Demographics Hot Ones Guests Spam Emails Analysis Global Refugee Data Fair Use Cases Union Membership Trends Global Human Day Observations
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