This repo is dedicated to sharing my adventures with miscellaneous data visualization projects with others.
Most of my visualization work is coded with R, directories will include datasets and code files. Code files will include comments to walk through different steps of generating the visualiztion.
| Topic | Main Packages | Source |
|---|---|---|
| Popular Spotify Artists | ggplot, ggtext, ggimage. | spotifyr |
| Speaker Election | ggplot, ggtext, ggimage, ggsankey | voteogram |
| FIFA World Cup | ggplot, ggtext, ggimage, geomtextpath | Wikipedia |
| ChatGPT vs. Lensa | ggplot, geomtextpath, ggtext | Google Trends |
| Grand Slam Tennis Legends | htmltools, htmlwidgets, reactablefmtr | Wikipedia |
| Selling Sunset Vibes | ggplot, ggimage | A Tweet |
| The Leo Chart | ggplot, ggimage | |
| Nintendo Switch Games | ggplot, ggimage, ggchicklet | Wikipedia |
| WestWorld Attribute Matrix | ggplot, ggtext, ggimage | Open-Source Psychometrics |
Top 5 Nintendo Switch Games based on copies sold. Data from Wikipedia. Graphic rendered in the style of a Nintendo Switch, screen used as plot background for bar chart. Graphic created with ggplot, ggtext, ggimage, and ggchicklet.
Based on a chart found on Reddit circa 2019 by TrustLittleBrother. I wanted to recreate the infamous graphic using ggplot and related ggplot libarires in R. Images of Leo and his party of girlfriends taken from the original image. Code uses ggplot, ggtext, and ggimage.
Inspired by the "Attribute Matrix" show on the HBO series, Westworld. Data from the Open-Source Psychometrics Project. Plot created using ggplot, ggtext, and ggimage.
Attempt to recreate New York Times' abortion ban choropleth map using R (ggplot + ggpatern). The original image is from NYT's Instagram.
Recreated the funny (and totally fictious) plot created by @bananapeele.
Inspiration for the Globe Bar plot came from R Graph Gallery's tutorial on circular bar plots. Used the tutorial to generate the bar plot, then overlayed a choropleth map (in the styel of a globe) in the center. Created using ggplot2.
