J.F. Kennedy Senior Explores Global Temperature Data with Dr. Fan Yang’s Mentorship

Wake Forest LEAP Program is a six-week internship offering local high school juniors and seniors hands-on STEM lab experience, supported by mentors teaching research principles and lab etiquette.

This summer, Dr. Fan Yang is mentoring Jose Dela Cruz, a rising senior from J.F. Kennedy High School in exploring data mining and visualization techniques to analyze global temperature data using Python and more.

Check out this site for details.

Details of the Project:

In this project, we will explore data mining and visualization techniques to analyze global temperature data using Python. We’ll begin with standard visualization methods—such as line charts, box plots, and histograms—using libraries like Matplotlib and Seaborn to examine temporal trends and spatial distributions. Next, we’ll use GeoPandas to process geographic data and convert it into GeoDataFrames, enabling spatial filtering and aggregation. After preparing the data, we’ll export it to GeoJSON and create interactive choropleth maps with Plotly, allowing us to visualize geographic patterns in temperature data dynamically. Finally, we’ll conduct basic time-series forecasting to model seasonal and long-term temperature trends, tying together spatial and temporal perspectives for deeper insights.