Tanya Shapiro's repositories
tanya-data-viz
Personal data visualization side projects.
TidyTuesday
Data visualizations produced for #TidyTuesdayChallenge, a challenge hosted by R for Data Science.
peloton-stats
Analysis of personal Peloton stats using the Peloton API
30DayMapChallenge
The official website for #30DayMapChallenge, It is a daily mapping/cartography/data visualization challenge aimed at the spatial community. Code for map submissions.
intro-observable
This is an introductory workshop hosted by R-Ladies Philadelphia. Participants will sample how to use Observable Notebooks, Observable Plot, and combine Observable with R Quarto.
open-psychometrics
Project collecting and analyzing data from the Open-Source Psychometrics Project
horror-movies
Collection of Horror Movies from The Movie Database. Supporting materials included for R-Ladies ggplot workshop.
predicting-song-music-genre
What part of a song is better at determining it's music genre - the music (audio features) or the lyrics (NLP) ?
nobel-prize-laurates
Visualization exploring Nobel Prize Laureates throughout time and across each category.
reactable-workshop
reactable-workshop
eurovision-contest
Data scraping project to collect Eurovision Contestant information and overall rankings.
gganimate-workshop
Workshop with R-Ladies Cambridge reviewing ggplot extension package, gganimate.
python-plotnine-workshop
Python Plotnine workshop organized with R-Ladies (Cologne, Paris) and Pyladies (Tunis, Munich). Plotnine is a data visualization package based on R ggplot.
superhero-comics
Project objective to explore collecting data with the Superho API in R using httr & jsonlite. Data used to create exploratory visuals about sueprheroes & villains.
highcharter-graphics
R code for creating highcharts via {highcharter} package
macys-thanksgiving-parade
Scrapped data describing the balloons featured over the years in Macy's Thanksgiving Day Parade.
quarto-comments
Test repo to activate comments on Quarto site
svelte-tutorial
All the course files for the Svelete (beginners) playlist on The Net Ninja YouTube channel.