Some basic visualizations on patterns found in NEISS data
This data was gathered from the United States Consumer Product Safety Commission’s National Electronic Injury Surveillance System (NEISS) available here: http://www.cpsc.gov/en/Research--Statistics/NEISS-Injury-Data/
Below questions are answered using Python and Jupyter notebooks.
A. 1. What are the top three body parts most frequently represented in this dataset?
- What are the top three body parts that are least frequently represented?
B. 1. How many injuries in this dataset involve a skateboard?
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Of those injuries, what percentage were male and what percentage were female?
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What was the average age of someone injured in an incident involving a skateboard?
C. 1. What diagnosis had the highest hospitalization rate?
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What diagnosis most often concluded with the individual leaving without being seen?
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Briefly discuss your findings and any caveats you'd mention when discussing this data
D. 1. Visualize any existing relationship between age and reported injuries