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README.md

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# 🌍 Global Warming Forecast Tool
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![Global Warming GIF](https://media.giphy.com/media/26ufdipQqU2lhNA4g/giphy.gif)
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An advanced tool for analyzing and forecasting climate trends using ARIMA and Prophet models. Designed for researchers, policy-makers, and enthusiasts, it offers interactive visualizations, scenario simulations, and insights into global warming dynamics.
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---
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## 🚀 Features
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- **🔮 Time Series Forecasting:** Interactive forecasting using ARIMA & Prophet models to predict future climate trends.
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- **📊 Advanced Visualizations:** Dynamic visualizations including time series plots, correlation heatmaps, and more to explore climate data effectively.
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- **🌍 Scenario Analysis:** Simulate the potential impact of scenarios like "No Policy Change," "Carbon Neutral by 2050," and "Global Collaboration."
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- **📈 Data Upload & Analysis:** Upload your own datasets to explore insights, correlations, and patterns.
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- **📥 Download Reports:** Export your analysis in multiple formats including CSV, Excel, and PDF.
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- **🌐 User-Friendly Interface:** A sleek, easy-to-navigate dashboard powered by Streamlit for seamless interaction.
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---
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## 🛠️ Technologies Used
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<div align="center">
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<img src="https://cdn-icons-png.flaticon.com/512/5968/5968350.png" alt="Python" width="40" height="40" />&nbsp;
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<img src="https://streamlit.io/images/brand/streamlit-logo-primary-colormark-lighttext.png" alt="Streamlit" width="120" />&nbsp;
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<img src="https://upload.wikimedia.org/wikipedia/commons/3/37/Plotly-logo-01-square.png" alt="Plotly" width="40" height="40" />&nbsp;
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<img src="https://altair-viz.github.io/_static/altair-logo-light.png" alt="Altair" width="40" height="40" />&nbsp;
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<img src="https://upload.wikimedia.org/wikipedia/commons/8/84/Matplotlib_icon.svg" alt="Matplotlib" width="40" height="40" />&nbsp;
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<img src="https://seaborn.pydata.org/_static/logo-wide-lightbg.svg" alt="Seaborn" width="120" />
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<img src="https://upload.wikimedia.org/wikipedia/commons/e/ed/Pandas_logo.svg" alt="Pandas" width="100" height="40" />&nbsp;
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<img src="https://prophetpy.readthedocs.io/en/latest/_static/prophet-logo.png" alt="Prophet" width="100" height="40" />&nbsp;
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<img src="https://upload.wikimedia.org/wikipedia/commons/1/1d/Scikit_learn_logo_small.svg" alt="Scikit-learn" width="40" height="40" />
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</div>
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---
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## 📋 Table of Contents
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1. [Installation](#installation)
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2. [Usage](#usage)
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3. [Project Structure](#project-structure)
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4. [Features in Detail](#features-in-detail)
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5. [Interactive Dashboard](#interactive-dashboard)
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6. [Contributing](#contributing)
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7. [License](#license)
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---
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## 🛠️ Installation
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1. Clone the repository:
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```bash
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git clone https://github.com/ThecoderPinar/GlobalWarmingForecast.git
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```
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2. Navigate to the project directory:
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```bash
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cd GlobalWarmingForecast
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```
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3. Install the required dependencies:
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```bash
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pip install -r requirements.txt
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```
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---
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## ▶️ Usage
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1. **Run the Application:**
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```bash
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streamlit run app.py
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```
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2. **Navigate the Interface:**
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- **📥 Upload & Analyze Data:** Upload your dataset in CSV format to explore and analyze.
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- **🔮 Time Series Forecast:** Generate ARIMA & Prophet model forecasts for temperature anomalies.
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- **📋 Generate Reports:** Download your results in various formats, including CSV, Excel, and PDF.
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---
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## 📂 Project Structure
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```
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GlobalWarmingForecast/
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├── app.py # Main Streamlit application
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├── data/ # Data files
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├── models/ # ARIMA & Prophet models
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├── requirements.txt # Dependencies
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├── README.md # Project documentation
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```
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---
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## 💡 Features in Detail
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### 🔮 Time Series Forecasting
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- Forecast temperature anomalies using **ARIMA** and **Prophet** models.
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- Visualize the results with interactive Plotly charts, allowing users to zoom, pan, and explore the trends.
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![ARIMA Forecast GIF](https://media.giphy.com/media/LmNwrBhejkK9EFP504/giphy.gif)
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### 📊 Advanced Visualizations
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- Visualize correlation heatmaps, scatter plots, histograms, and time series trends.
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- Customize graphs based on different metrics and gain insights into relationships between variables.
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### 🌍 Scenario Analysis
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- Simulate different scenarios such as:
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- **"No Policy Change"**: Forecast the impact if current policies remain unchanged.
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- **"Carbon Neutral by 2050"**: Analyze the potential effects of achieving carbon neutrality.
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- **"Global Collaboration"**: Understand how international efforts can change climate outcomes.
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### 📈 Data Upload & Analysis
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- Upload your own datasets (CSV format) to perform interactive analysis.
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- Features include summary statistics, correlation matrices, and the ability to explore trends through different visualizations.
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---
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## 📊 Interactive Dashboard
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The **Interactive Dashboard** offers:
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- **Real-Time Forecasting**: Choose different time horizons and models to see how climate trends evolve.
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- **Dynamic Visualizations**: Toggle between different visual elements to explore the data in depth.
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- **Scenario Customization**: Adjust inputs such as greenhouse gas emissions and renewable energy usage to see how predictions change.
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![Interactive Dashboard GIF](https://media.giphy.com/media/3o6Zt481isNVuQI1l6/giphy.gif)
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---
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## 🤝 Contributing
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We welcome contributions! Here's how you can help:
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- **Fork the repository**
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- **Create a new branch** (`git checkout -b feature-name`)
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- **Commit your changes** (`git commit -m 'Add some feature'`)
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- **Push to the branch** (`git push origin feature-name`)
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- **Open a pull request**
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For major changes, please open an issue first to discuss what you would like to change.
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---
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## 📜 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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---
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## 🌟 Show Your Support
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If you found this project useful, please consider giving it a ⭐ on GitHub!
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<div align="center">
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<a href="https://github.com/ThecoderPinar/GlobalWarmingForecast">
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<img src="https://img.shields.io/github/stars/your-repo/GlobalWarmingForecast?style=social" alt="GitHub Repo stars">
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</a>
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</div>
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---
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## 📧 Contact
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For any inquiries, please reach out:
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- **Email:** [[email protected]](mailto:[email protected])
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- **GitHub:** [@your-repo](https://github.com/your-repo)
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- **LinkedIn:** [Your LinkedIn](https://www.linkedin.com/piinartp)
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---
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<div align="center">
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<a href="#installation">
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<img src="https://img.shields.io/badge/🔗-Go%20to%20Installation-blue" alt="Go to Installation" style="margin: 10px;">
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</a>
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<a href="#usage">
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<img src="https://img.shields.io/badge/▶️-Go%20to%20Usage-green" alt="Go to Usage" style="margin: 10px;">
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</a>
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<a href="#contributing">
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<img src="https://img.shields.io/badge/🤝-Contributing-orange" alt="Contributing" style="margin: 10px;">
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</a>
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</div>
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