
Web Analytics Dashboard
A full-stack web application featuring a custom, secured web analytics dashboard and reporting system to enable data-driven decision-making for web development.
Role
Software Developer
- Timeline
- May 2023
Technologies
- HTML
- CSS
- JS
- Node.js
- Express.js
- MySQL
- ZingChart
- ZingGrid
Tools
- DigitalOcean
- GitHub
- MySQL Workbench
- Postman
Background
Web developers often misinterpret analytics data, leading to poor decisions based on inaccurate metrics. For instance, a high bounce rate on a single-page application might be incorrectly seen as poor performance when it's expected behavior.
Solution
This project provides a custom web analytics dashboard to accurately collect, interpret, and analyze user behavior. It enables a shift from assumption-based development to an evidence-based approach, leading to better decisions and results.
Process
- Started by defining project requirements and identifying the key data points for collection and analysis.
- Designed the database schema, created the MySQL database, and developed the REST API endpoints with Express.js.
- Built the front-end dashboard, using ZingChart and ZingGrid to create interactive charts and tables for data visualization.
Final Product

Impact
- Designed scalable full-stack software solutions, covering both front-end and back-end development processes.
- Developed and managed a well-functioning MySQL database and a secure Node.js application.
- Implemented critical security features, including user authentication, authorization, and data protection measures.
Reflection
- Gained experience in an open-ended project that required making independent implementation decisions to meet feature requirements.
- Learned to effectively justify technical decisions and weigh the tradeoffs between modern trends and older, more reliable technologies.