Dataset Overview:
It’s the third day of dashboard week. Today, out task is to connect to a national park API to retrieve the data, and build a dashboard based on the data. The API provides information on activities, alerts, amenities, events, campgrounds, and educational resources, making it a valuable tool for visitors, researchers, and park enthusiasts. The data I retrieved from the API includes information about activities, parks, and alerts. The activities data contains all available activities in each national park, while the parks data includes detailed information about each park, such as location, park type, temperature, and description. The alerts data provides information about alerts occurring in the parks, including type and any related road events.
Plan and Insights:
I am looking for a connection between park type and the number of road events, specifically whether certain park types tend to have more road events. If so, what features characterize those park types?
While creating the dashboard, I found that road events typically occur in park types that offer more adventure activities. Additionally, park types with a higher number of alerts tend to experience more road accidents.
I used bar charts to show the number of accidents and compare the number of activities for parks with road events versus those without. A line chart illustrates the number of road events over time, and a donut chart displays the comparison of alerts among different park types.
Dashboard:
