πŸ“Š How To Create A Data Visualizer

Data visualization brings numbers to life, and that’s precisely our goal in this project. Data Visualizer by Amaan Shaikh was developed with modern UI/UX, animations and performance in mind. It’s suitable for students, educators, and professionals.


🎯 Project Overview

This Data Visualizer isn’t just functional it’s interactive, clean, and smart. It supports:

  • CSV input via file or paste
  • Chart types – Bar, Line, Pie, Doughnut, Radar, Polar Area
  • Auto-aggregation for repeated categories
  • Live table summary of the dataset
  • Chart export as PNG
  • Dark Mode toggle

It’s a perfect frontend showcase of JavaScript DOM manipulation, Chart.js integration, file handling, and responsive CSS.


✨ Key Features

πŸ“Š Multiple Chart Types
Visualize data with Bar, Line, Pie, Doughnut, Radar או Polar Area charts.

🎨 Dynamic Color Picker
Customize chart colors instantly with a color input.

πŸ“ Drag & Drop CSV Upload
You can upload a .csv or paste data directly to the text area.

🧠 Smart Data Merging
Duplicate categories are automatically combined with summed values.

πŸŒ— Dark Mode Toggle
Switch between light and dark themes. Preference is saved with localStorage.

πŸ“€ Export as PNG
Easily download your chart as an image for reports or presentations.

πŸ“„ Live Data Table
All charts are included with a summary data table for further easy understanding and access.


🧰 Development Stack

  • HTML5 and Vanilla JavaScript
  • Chart.js with DataLabels Plugin
  • Responsive CSS and custom design system
  • ARIA labels for accessibility
  • localStorage for dark mode persistence

πŸ›  How It Works

  1. Open the tool in any modern browser β€” no installation needed.
  2. Paste or upload your CSV data.
  3. Choose a chart type and color.
  4. Click “Visualize Data” to see your chart.
  5. Download the chart or reset to start again.

πŸ“Œ Why You Should Build or Use This

This project is great for learning and practicing:

  • JavaScript file input/output
  • Data parsing, validation, and transformation
  • Dynamic UI rendering with Chart.js
  • CSS animations and styling
  • DOM interaction and accessibility best practices

It’s also part of the hands-on learning experience for students at InfoDesk Computer Education.


🧠 Final Thoughts

Whether you’re a student preparing for your future or a developer building your portfolio, this Data Visualizer by Amaan Shaikh is a rewarding project that combines real-world utility with clean design. Try it, enhance it, and use it to showcase your frontend skills!

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