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Case Study In Development

Analytics Dashboard

A real-time analytics platform with interactive visualizations, custom report builders, and data export capabilities.

Role:Full-Stack Developer
Next.jsNestJSPostgreSQLChart.js
8+
Chart Types
Bar, line, pie, area, scatter, and more
REST
Data Sources
Pluggable data source architecture
3
Export Formats
PDF, CSV, and PNG chart exports
Live
Refresh Rate
Auto-refresh with configurable intervals

Key Engineering Achievements

The engineering decisions and challenges behind this project

Dynamic Chart Rendering Engine

Challenge

Supporting multiple chart types with real-time data updates without performance degradation.

Solution

Built a chart abstraction layer on top of Chart.js that handles dynamic dataset updates, responsive resizing, and theme-aware coloring — all through a unified component API.

Impact

Adding new chart types requires only a config object, not new components.

Chart.jsAbstraction LayerDynamic Rendering

Custom Report Builder

Challenge

Users need to create their own reports by combining different metrics and filters.

Solution

Implemented a drag-and-drop report builder where users can select data sources, choose visualizations, apply filters, and save report templates for reuse.

Impact

Non-technical users can build custom reports without developer involvement.

Report BuilderDrag & DropTemplates

Real-Time Data Pipeline

Challenge

Keeping dashboards current without overwhelming the database with polling queries.

Solution

Implemented a smart polling system with configurable refresh intervals and delta-based updates that only fetch changed data points.

Impact

Live data freshness with 80% reduction in database query load compared to full-refresh polling.

PollingDelta UpdatesPerformance

Project Analytics

A data-driven look at the project's architecture and performance

Supported Visualizations

Bar Charts95
Line Charts90
Pie/Donut85
Area Charts80
Scatter70

Development Focus

100%
Visualization40%
Data Layer30%
Report Builder20%
Export System10%

Developer's Note

Analytics Dashboard is where I learned that data visualization is 20% charts and 80% data transformation. The hardest part isn't rendering a bar chart — it's aggregating messy data into meaningful metrics that tell a story.

GN
George Njoroge
Full-Stack Developer