The Challenge
This dashboard was designed to help analysts interpret large datasets of financial transactions. The focus was on clarity, interactivity, and performance. We needed to render thousands of data points without blocking the main thread.
Approach
We used D3.js for granular control over the data visualizations, creating custom bar charts, line graphs, and scatter plots. React handled the application state and UI logic. We implemented virtualization to efficiently render large lists of data rows.
Roadblocks & Solutions
Performance was a critical concern. Initial implementations of the scatter plot were sluggish with large datasets. We optimized this by using Canvas API via D3 for the heavy rendering tasks instead of standard SVG, resulting in smooth interactions even with 10,000+ points.
The Outcome
The dashboard enabled analysts to cut down their reporting time by 40%. The interactive filters allowed them to discover trends that were previously hidden in static reports.
Tech Stack
About
An interactive dashboard for visualizing complex datasets, featuring various chart types, date range filtering, and data export capabilities.