This group project aimed to investigate the impact of industrial emissions on public health in Louisiana, focusing on Ascension and Calcasieu counties. The team analyzed the Louisiana Department of Environmental Quality emissions inventory dataset from 1991 to 2022 using RStudio for data wrangling. The dataset included information about the amount and type of pollutants released by industrial facilities in Louisiana. The project identified the limitations of the dataset, which can impact the accuracy of measuring pollution from companies. The team also identified the top 15 cancer-causing chemicals and their sources, as recognized by the National Institutes of Health and the National Toxicology Program. This project used RStudio and data wrangling techniques to conduct an analysis of industrial emissions in Louisiana and their potential impact on public health.
The purpose of this group project is to create a tool that assists Macalester College students in locating their classrooms for various courses. The idea stemmed from personal experiences with the amount of time spent searching for a classroom each semester, particularly when unfamiliar with a particular building. This version of the tool was developed using HTML, CSS, and JavaScript as the primary programming languages.
This project is an application designed to simplify online shopping by tracking product prices and notifying Juan of discounts and free shipping offers. It operates by accepting product URLs, scrapes information from web pages, and stores data in the cloud. It sends email alerts when discounts or free shipping options are detected. Anyone can also view price trends via a graphical interface. Currently, it is limited to tracking products on Sams Club's website. (NOTE: WEBSITE IS UNDER MAINTENANCE, BUT APP IS THERE FOR AN IDEA OF HOW THE APP WORKS.)