📊 Data Visualization Projects

This repository showcases powerful data visualization projects designed to transform raw data into compelling stories. Whether it's climate trends, hotel bookings, or financial predictions — this repo makes data understandable and actionable.

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📁 Project Structure

Data-Visualization/
├── Climate_Change/
├── Closing_Stock_Price_Prediction/
├── Hotel_Bookings/
├── LICENSE
└── README.md

Each folder contains:

• 📄 Clean datasets
• 📈 Visualization notebooks (.ipynb) or scripts
• 🧠 Analytical insights and dashboards

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📌 Projects Overview

Project Name	Focus Area	Visualization Tools
Climate Change	Environmental trends	Seaborn, Matplotlib
Closing Stock Price Prediction	Finance & forecasting	Plotly, Time-series plots
Hotel Bookings	Business analytics	Tableau, Matplotlib

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🧰 Tech Stack

• Python Libraries:

  • Pandas, NumPy, Matplotlib, Seaborn, Plotly, Plotly Express

• BI & Web Viz Tools:

  • Tableau, Power BI, D3.js (planned)

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🚀 Getting Started

Clone the repository

git clone https://github.com/amanantuley/Data_Visualization.git
cd Data_Visualization

Set up dependencies

Each project may include its own requirements.txt. As a general starter:

pip install pandas numpy matplotlib seaborn plotly

Run the notebooks

Launch Jupyter Notebook or your IDE and open any .ipynb file:

jupyter notebook

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🎯 Goals

• 🧠 Extract insights from complex data
• 📊 Build dashboards and visual reports
• 🌍 Raise awareness through visual storytelling

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🌍 Live Dashboards

Coming soon: Link to Tableau Public / GitHub Pages

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🤝 Contributing

We’re open to:

• New datasets & visualizations
• UX/UI dashboard enhancements
• Web-based D3.js integrations

Steps:

git fork https://github.com/amanantuley/Data_Visualization.git
git checkout -b feature/YourAmazingChart

Open a Pull Request once you're ready! 🚀

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📜 License

This project is licensed under the MIT License – see the LICENSE file for details.

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📬 Connect with Me

• 🔗 LinkedIn
• 📧 amanantuley@gmail.com
• 🐦 Twitter