data source : https://bloomington.data.socrata.com/
The Bloomington City Service Requests Dashboard is an enhanced data visualization tool developed using Plotly Dash. This dynamic dashboard leverages data from the city's API to offer a user-friendly interface, providing detailed insights into various service requests made by Bloomington City residents. The recent updates to the dashboard have further enriched its features, making it a powerful tool for exploring trends, patterns, and critical details related to service requests.
The Bloomington City Service Requests Multi-Category Dashboard is an integrated data visualization tool built using Plotly Dash. This dashboard consolidates information from various service request categories, providing a comprehensive view of the city's service-related activities. Leveraging data from the city's API, the dashboard offers a user-friendly interface for exploring trends, patterns, and detailed insights into specific service request types.
- The dashboard includes a map highlighting potholes and vegetation-related service requests.
- Users can filter by year, providing a temporal analysis of these specific issues.
- The map dynamically updates to reflect changes in response times and other relevant metrics.
- A dedicated map displays the geographical distribution of graffiti-related service requests.
- The bubble size on the map corresponds to the number of reports at each location.
- Users can explore detailed information by clicking on individual data points.
- The map focuses on biking and walking-related service requests, categorizing them as open or closed.
- Users can visualize trends and patterns related to these specific types of requests.
- This map showcases the status of sidewalk-related service requests, distinguishing between open and closed cases.
- Detailed information is available for each request, providing insights into response times and outcomes.
- The dashboard integrates a map displaying different types of rental properties categorized by color.
- Users can explore details about each property type, enhancing their understanding of housing patterns in the city.