Building a data visualization project around footfall analysis

The Motivation Behind the Project

This data visualization project turns footfall data into something easier to scan and compare. The main goal was to let the visuals do the heavy lifting so the user could spot patterns without digging through raw numbers.

Core Features and Design Goals

• Interactive charts: a way to compare data without losing context.
• Map-based exploration: location and movement become easier to interpret when they are spatially shown.
• Visual comparison: the app highlights patterns instead of only displaying records.

Technical Implementation

• Built synchronized chart-map interactions where selecting a data point on a chart highlights the corresponding location on the map, and vice versa — using shared state to keep both visualizations in lockstep.
• Implemented multiple chart types (bar, line, heatmap) to represent different dimensions of footfall data, with interactive tooltips and time-range selectors for drilling into specific periods.
• Designed a responsive dashboard layout using Next.js and Tailwind CSS grid system, where charts and map panels reflow intelligently across breakpoints without losing data context.

The Technology Stack

Built with Next.js, TypeScript, and Tailwind CSS. Integrates charting libraries for multi-type data visualization and an interactive map component with marker clustering. The dashboard uses shared reactive state to synchronize chart selections with map highlights.

Final Reflections

It is a good example of how visual design can make a dataset feel accessible instead of overwhelming.