"The goal is to turn data into information, and information into insight."
— Carly Fiorina
Florida Climate Analysis
Project Description
Technologies: Tableau, NOAA datasets, Geospatial Analysis
This project analyzed the relationship between weather patterns and economic costs in Florida. I gathered NOAA datasets covering over 30 years of hurricanes, rainfall, and disaster-related damages. The raw data came in multiple formats and required significant preprocessing to align dates, normalize cost data, and geocode affected regions.
After performing exploratory data analysis, I identified recurring trends such as seasonal hurricane spikes and increasing disaster costs over time. Using Tableau, I developed interactive dashboards that combined geospatial mapping with time-series analysis. The visualizations allowed users to track disaster frequency by county, explore long-term cost impacts, and identify which regions were most vulnerable.
The project demonstrates how combining climate data with economic indicators can uncover patterns that would otherwise remain hidden in spreadsheets. It also shows my ability to merge EDA, geospatial analysis, and interactive dashboarding into a cohesive story.
Data Source
Skills Showcased:
Data cleaning and merging using Python (Pandas)
Exploratory Data Analysis (EDA) on time-series climate variables
Trend and correlation analysis using visual statistics
Designed and published interactive Tableau dashboards
Integrated multi-source public datasets for unified storytelling
Communicated insights using visual narratives and user-driven filters
Key Insights
Rising average annual temperatures and increased storm frequency signal growing climate volatility.
Economic losses from major hurricanes have spiked in recent decades, especially in coastal zones.
Dashboards enabled users to explore seasonal rainfall trends, storm paths, and county-level damage.
Identified patterns between climate change and financial vulnerability in South Florida regions.
