Overview:
Today is the first day of our dashboard week. The dataset we were given is about boating accidents occurring in U.S. coastal jurisdictions. The data has three major sections: accident information, vessel details, and casualties involved in the accidents. It covers the location, causes, date, weather, injury type, body of water, and a lot of information regarding accidents that happened between 2009 and 2023. The challenge of having such a detailed dataset is to pick a topic from hundreds of fields to form a story. You can either choose a topic related to accident causation to dive deeper into the most common causes among all the accidents, or provide an overall exploration of all the accidents and their impacts.
When I received the data, I realized that it’s important to cover several topics to gain an overall understanding of boating accidents. This includes identifying the most dangerous areas for boating, determining which vessel types are most likely to be involved in accidents, analysing the major reasons for these accidents, and assessing whether wearing a personal flotation device (PFD) makes a difference in accident outcomes.
With all these questions in mind, I started to build my dashboard. My dashboard has four major sections: which state has the most accidents, which vessel types are involved in the majority of accidents, the most frequent causes of accidents, and the common types of injuries resulting from these accidents. I also included a comparison of death rates between people who wear PFDs and those who do not.
Dashboard:
