Projects
Project 1: Exploratory Analysis of Spotify Trends (STATS 20)
Description
Analyzed over 100,000 Spotify tracks to explore whether song characteristics such as danceability, genre, and explicit content were associated with popularity. The project used summary statistics and visualizations to identify trends across musical genres.
Tools Used
- R
- Quarto
- Data Visualization
- Exploratory Data Analysis
Outcome
The analysis found that popularity varied substantially across genres and that characteristics such as danceability and explicit content may be related to popularity. The project demonstrated how R can be used to explore large real-world datasets.
Report
Project 2: Exploratory Data Analysis of Airbnb Listings (STATS 20)
Description
Conducted an exploratory data analysis of nearly 280,000 Airbnb listings to identify factors associated with nightly listing prices. The project examined relationships between pricing, room type, number of bedrooms, and host characteristics.
Tools Used
- R
- Quarto
- ggplot2
- Data Visualization
- Exploratory Data Analysis
Outcome
Found that Airbnb prices are highly right-skewed and that room type, number of bedrooms, and Superhost status are associated with higher listing prices. Hotel rooms and entire homes generally commanded higher prices than private or shared rooms.