📊 StackOverflow Language Trend Analyzer

A web application that visualizes 10 years of programming language popularity trends using StackOverflow data — with dynamic multi-language selection, real-time graph updates, and interactive Chart.js visualizations.

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🌐 Live Demo

Open frontend/index.html in your browser to run locally.

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✨ Features

• 📈 10-Year Trend Visualization — See how languages like Python, JavaScript, Java, and more grew or declined
• 🔀 Multi-language Selection — Compare multiple languages side by side in real time
• 📊 Interactive Charts — Powered by Chart.js with smooth animations
• 🔌 Backend API — Flask API serves historical trend data from CSV dataset
• 📱 Responsive UI — Works across devices

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🛠️ Tech Stack

Layer	Technology
Frontend	HTML5, CSS3, JavaScript
Charts	Chart.js
Backend	Python, Flask
Data	StackOverflow CSV dataset

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🗂️ Project Structure

Stack-Overflow-Analysis/
│
├── frontend/
│   └── index.html        # Main UI with Chart.js visualizations
├── app.py                # Flask backend API
├── data.csv              # StackOverflow language trend dataset
└── requirements.txt      # Python dependencies

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🚀 How to Run Locally

1. Clone the repository

git clone https://github.com/Rakshita-0206/Stack-Overflow-Analysis.git
cd Stack-Overflow-Analysis

2. Install dependencies

pip install -r requirements.txt

3. Run the Flask server

python app.py

4. Open in browser

http://localhost:5000

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📊 What the Data Shows

• Languages tracked: Python, JavaScript, Java, C#, PHP, TypeScript, C++, and more
• Time range: 2013 – 2023
• Data source: StackOverflow Developer Survey / Tags dataset
• Metric: Percentage of questions asked per language per year

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🙋‍♀️ Author

Rakshita K Biradar B.Tech Computer Science, Sitare University, Lucknow 📧 su-24110@sitare.org | GitHub | LinkedIn

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📄 License

This project is open source and available under the MIT License.