Inspiration
My inspiration for this project stemmed from my passionate interest in public health and safety. The realization that consumer products regulated by the FDA, though generally safe, can occasionally lead to adverse events sparked a curiosity to delve deeper into this area. The goal of mine was to leverage data analytics to uncover patterns and insights that could potentially help in improving product safety standards and contribute to the well-being of consumers.
What it does
A jupyter notebook containing data analysis and key recommended regulatory actions to the FDA.
How I built it
The project was built using a combination of Python, and python libraries such as Pandas for data manipulation, and Matplotlib for data visualization. The dataset was the CAERS_ProductBased.csv data from January 2004 to June 2023, which provided 20 years of rich source of information on consumer product-related adverse events. The process involved cleaning the data, categorizing outcomes based on severity, and analyzing the frequency of these events.
Challenges I ran into
One of the main challenges was dealing with the varied nature of the dataset. It required very careful data cleaning and transformation to make it suitable for analysis. Another hurdle was the technical limitations encountered when trying to directly manipulate and visualize the data within the given platform, which required a shift in approach to providing guided solutions for local execution.
Accomplishments that I'm proud of
Throughout this project, I delved into the realm of data analysis, learning to manipulate and interpret complex datasets which involved mastering data cleaning techniques, and understanding the intricacies of data visualization. I gained a deeper appreciation of the power of data in uncovering hidden trends and making informed decisions.
What I learned
This project was a journey into the heart of public health and safety in the United States. It reinforced the importance of diligent data analysis in making the world a safer place and highlighted the potential for data to inform and guide regulatory actions. Throughout this project, I developed a deeper understanding of the challenges and complexities inherent in consumer safety data and the critical role of data analysis in addressing them.
What's next for FDA Adverse Events Analysis
Expolore more with different demographics
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