Neiss Data Exploration and Visualization
Data set Introduction
CPSC’s National Electronic Injury Surveillance System (NEISS) is a national probability sample of hospitals in the U.S. and its territories. Patient information is collected from each NEISS hospital for every emergency visit involving an injury associated with consumer products. From this sample, the total number of product-related injuries treated in hospital emergency rooms nationwide can be estimated. This web access to NEISS allows certain estimates to be retrieved on-line. These estimates can be focused by setting some or all of the following variables (and an example of each):
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Date (one year maximum range; e.g., how many injuries were treated in 1996)
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Product (e.g., how many bicycle injuries occurred)
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Sex (e.g., how many injuries occurred to women)
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Age (e.g., how many injuries occurred to people aged 35-55)
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Diagnosis (e.g., how many lacerations occurred)
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Disposition (e.g., how many people were admitted to the hospital)
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Locale (e.g., how many injuries occurred at a school)
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Body part (e.g., how many injuries involved the knee)
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For more detailed information: http://www.cpsc.gov/en/Research-Statistics/NEISS-Injury-Data/
Questions
1. What are the top three body parts most frequently represented in this data set? What are the top three body parts that are least frequently represented?
2. How many injuries in this dataset involve a skateboard? Of those injuries, what percentage were male and what percentage were female? What was the average age of someone injured in an incident involving a skateboard?
3. What diagnosis had the highest hospitalization rate? What diagnosis most often concluded with the individual leaving without being seen?
4. Visualize relationship between age and reported injuries.
Tools
Python + Jupyter Notebook
Get Data Ready
