The “Walmart Navigator” is designed to help users identify the closest Walmart stores based on their selected city and distance preferences within the United State. It combines geographical data on Walmart Store locations with user-defined city input ,using the Haversine formula for computing distances between two points. Here's a breakdown:
How It Works
- Users select a city from a dropdown and specify a distance limit and preferred unit (kilometers or miles).
- The Haversine formula is used to calculate the great-circle distance between two points (latitude and longitude), ensuring precise measurements even over long distances by accounting for Earth’s curvature.
- Walmart stores are ranked by proximity, with visual highlights for the nearest and second-nearest stores to aid quick identification.
Dashboard Features
- Interactive Map: Displays Walmart store locations, color-coded to show proximity (e.g., nearest in yellow, second nearest in blue).
- Detailed Store Table: Lists store names, distances, and clickable links to store pages.
- Distance Filtering: Users can define how far they want to search, narrowing results to stores within the specified range.
- Dynamic Summary: Displays the selected city, distance threshold, and unit, making the dashboard easy to interpret.
Purpose and Value
I made this dashboard with the intention of sharing ideas for the broad applications across various fields:
- Retail and Logistics: In this, companies can analyze store accessibility for optimizing delivery routes.
- Travel and Planning: Users can plan trips or errands by identifying nearby stores.
- Customer Experience: Enhances customer convenience by making location-based decisions simpler and faster.e.g closest agent location.
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