Maplysis
Maplysis is a powerful, yet simple tool developed for Geo data analysis and decision-making. A very similar algorithm to K-nearest-neighbor is used to identify target zip codes and visualize them on an interactive map.
A Real-World Use Case
Imagine an organization that wants to conduct medical camps at various points across the country for specific health-related campaigns. Instead of targeting every state, they are looking for strategic points from where they can access the majority of patients.
They already have the zip codes and the corresponding number of patients. Using Maplysis, they can:
- Upload an Excel file containing the zip codes and patient data (dre).
- Set an appropriate radius and the minimum number of patients required under a zip code for that area to be eligible for a camp.
- Visualize the target zip codes on the map to cover the majority of the patients.
After generating the map, they can visually analyze the data and download the generated Excel file. The file will provide the target zip codes, their corresponding dre’s, and the average distance from nearby zip codes, helping in effective decision-making.
Generated Excel file.
Tools Used
Maplysis was developed using the following technologies:
- Frontend: Built with React and Material UI for a clean and user-friendly interface.
- JavaScript: Utilized for logic building and algorithm implementation.
- Google Maps: Implemented for data visualization.
- File Support: Accepts Excel/CSV files for data input and result generation.
- Deployment: The platform is hosted on Vercel for seamless access.
How to Use Maplysis
- Visit the platform: maplysis.com
- Download the demo Excel File for testing purposes.
- Upload the Excel file to the platform.
- Set the radius to under 10 miles and the minimum zip codes count to 7 or 8 under given radius.
- Click Generate to see the map visualization.
- Zoom in or out to explore the result, and click Download to get a file with the identified target zip codes and other relevant data.
Maplysis provides a simple, yet powerful solution for geo-based decision-making, helping organizations optimize their efforts by focusing on areas with the highest impact.