Students in Professor Kelly McConville’s Data Science class recently built interactive online visualizations using real data to analyze a topic of their choice.\u00a0 The work is a part of a semester learning how to gather, analyze, visualize, and interpret data.\u00a0 The following links are a selection of the projects.<\/p>\n
The sites are available on campus (or via VPN<\/a> if off campus).<\/p>\n Shot Charts for NBA Players<\/a>\u00a0– Alexander Mandel and Henry Han<\/em>.\u00a0 Compare the shooting performance of 25 basketball stars.<\/p>\n Boston Marathon<\/a> – Kevin Choi and Tiffany Wan<\/em>g.\u00a0 Explore how the race has changed over time<\/p>\n Airbnb in NYC<\/a> – Peiwen Zhang and\u00a0Istvan Cselotei<\/em>.\u00a0 Compare Airbnb rental prices, availability, and price variations in different New York neighborhoods.<\/p>\n College Compass<\/a> –\u00a0Kirsten Morehous<\/em>e and\u00a0Tommy Ferguson<\/em>. Find a college that best fits a student’s needs.<\/p>\n Distribution of Wealth Across Pennsylvania Counties<\/a>\u00a0– Robert Walsh and\u00a0 Fay Blelloch<\/em>.\u00a0 Compare income variations across the state.<\/p>\n The Hunt For The Perfect Candy<\/a> – Chase Williamson and Haochen Wang<\/em>.\u00a0 Enter your favorite candy characteristics to see which is the best match for you.<\/p>\n What are People Eating in the U.S.?<\/a>\u00a0– Kimberly Rosa-Perez and Charles Levitt<\/em>.\u00a0 Explore how food consumption has changed by year, gender, and age.<\/p>\n Interactive PA Accident Data<\/a> –\u00a0Rachel Diamond and\u00a0Tom Fitch<\/em>.\u00a0 See how time of day, season, and location affect vehicle accidents in Pennsylvania.<\/p>\n The students developed their site using the R statistical software language, the RStudio Server programming interface, and the Shiny Server web publishing site.\u00a0Throughout the semester, ITS staff worked with Professor McConville and the Data Science students to provide server resources and technical assistance.<\/p>\n We’ve seen a large increase in the number of faculty, students, and classes using the R language.\u00a0 Last summer, Professor Lu Chen<\/a> and Academic Technologist Doug Willen collaborated to offer a two day workshop on R<\/a>.\u00a0 If you are interested in learning more about how ITS can support your class or research with data science and analysis tools, please get in touch with your Academic Technologist<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"