Projects

NBA Player Stats
app
sports
reactable
Observable
Explore NBA player stats with this easy to query app. Data from ESPN and basketball-reference.com.

Cast Connections
network
interactive
D3
Explore cast connections across different TV shows in a creator’s universe. Data from tmdb.

The Global Human Day
Observable
interactive
D3
TidyTuesday
How do people allocate their time in a day? Explore differences by country. Project based on resesarch provided by The Global Human Day study.

PELOTANYA
Shiny
Dashboard
App
Interactive dashboard summarizing personal Peloton workout information. Built with R Shiny.

US Tornado Outbreaks
Observable
interactive
TidyTuesday
Part of the TidyTuesday series. Project exploring tornado outbreaks reported across the United States. Data source NOAA.

Sports Leaderboard Generator
Observable
interactive
D3
sports
Dynamic Sports Leaderboard Generator. Stats and images taken from ESPN for leagues including NBA, MLB, NHL, WNBA, and F1.

NBA Shot Charts
Observable
interactive
Analysis of NBA player shooting stats for 2022-23 regular season. Interactive shot charts created with Observable Plot.

English Premier League
R
interactive visual
tables
Interactive graphics exploring stats for teams competing in the English Premier League from 2018 to 2022.

RuPaul’s Drag Race
R
Observable
interactive
Web scraping and exploratory data analysis project of RuPaul’s Drag Race. Includes a custom Spotify playlist, an interactive map, and a network diagram.

Supreme Court Justices
R
interactive visual
Historical analysis of United States Supreme Court Justices. In this project, I visualize 116 justices in the style of emoji portraits. I also examine the voting behavior…

Music or Lyrics
Predictive Models
Python
NLP
Classification
What is the best predictor of music genre classification - song audio features or lyrics? Project uses NLP and other classification models to investigate.

Dear Subreddit
Predictive Models
Python
NLP
Streamlit
Do men and women seek council for different questions online? Project uses Subreddit data from AskMen and AskWomen to build a predictive model with NLP.

That’s Rotten
Predictive Models
Python
NLP
Can we use NLP to determine if the sentiment of a movie review is good or bad? Project uses data from Rotten Tomatoes to classify reviews using different classification…
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