The dashboard layout combines summary indicators (KPI tiles for Total Accidents, Total Casualties, Fatal, Serious, and Slight Casualties), monthly trend lines, categorical breakdowns by vehicle type, weather, road surface, and road carriageway using donut and bar charts, plus a geographic map of fatal casualties by location.
Conditions: The user is viewing the ROAD ACCIDENT DASHBOARD section of the web application.
The dashboard layout combines summary indicators (KPI tiles for Total Accidents, Total Casualties, Fatal, Serious, and Slight Casualties), monthly trend lines, categorical breakdowns by vehicle type, weather, road surface, and road carriageway using donut and bar charts, plus a geographic map of fatal casualties by location.
Conditions: The user is viewing the ROAD ACCIDENT DASHBOARD section of the web application.
Changing the Current Year filter acts as a global control that synchronously updates all displayed aggregates and charts. For example, switching from 2022 to 2021 updates the top KPI tiles from 141,200 Total Accidents and 191,681 Total Casualties to 176,727 and 241,177 respectively, and changes the donut-chart centers to 5.3K.
Conditions: The dashboard is actively displaying the ROAD ACCIDENT DASHBOARD.; The user interacts with the Current Year dropdown menu.
Changing the Current Year filter acts as a global control that synchronously updates all displayed aggregates and charts. For example, switching from 2022 to 2021 updates the top KPI tiles from 141,200 Total Accidents and 191,681 Total Casualties to 176,727 and 241,177 respectively, and changes the donut-chart centers to 5.3K.
Conditions: The dashboard is actively displaying the ROAD ACCIDENT DASHBOARD.; The user interacts with the Current Year dropdown menu.
The application is launched by opening the project folder containing app.py, starting Anaconda Prompt, changing the directory to the project path, and executing the command python app.py. Flask then reports that it is serving the app in non-debug development mode on http://127.0.0.1:8000, which is subsequently opened in the browser.
Conditions: The project folder contains the executable Python source file app.py.; The user has access to Anaconda Prompt and the correct project directory path.
The application is launched by opening the project folder containing app.py, starting Anaconda Prompt, changing the directory to the project path, and executing the command python app.py. Flask then reports that it is serving the app in non-debug development mode on http://127.0.0.1:8000, which is subsequently opened in the browser.
Conditions: The project folder contains the executable Python source file app.py.; The user has access to Anaconda Prompt and the correct project directory path.