Foodborne Disease Outbreaks, 1998-2015 data from Kaggle
I used the “Foodborne Disease Outbreaks, 1998–2015” dataset from the CDC (available on Kaggle) as the basis for my first Python project to practice data analysis and draw meaningful insights. My analysis included:
Trend Analysis of Illnesses over Time Plotted total outbreak illnesses per year Computed year-to-year percent change to understand growth or decline in cases
Pathogen Frequency & Emergence Forecasting Tabulated incidence by pathogen (which ones appeared most often) Modeled a simple projection of new pathogen emergence, based on historical unique pathogen count trends
Geographic Insights by State Mapped outbreak frequency by U.S. state Identified “hotspot” states with significantly high counts (e.g., Florida)
Visualizations & Interpretation Line charts, bar plots, geographic maps Interpreted results in terms of public health implications, such as resource allocation and preventive strategies
Line charts, bar plots, geographic maps
Interpreted results in terms of public health implications, such as resource allocation and preventive strategies