📊 Data Science Graph Welcome to the Data Science Graph Program repository! 🚀 This project showcases a variety of data visualization techniques using Python. You'll find practical examples of Histograms, Bar Charts, Scatter Plots, and Pie Charts, implemented with widely-used libraries for data analysis and visualization.
🛠️ Technologies Used Python 🐍 — Core programming language
Matplotlib 📉 — Visualization library for 2D plots
NumPy 🔢 — Numerical operations and array handling
Pandas 🗃️ — Data manipulation and analysis
✨ Features 📊 Histograms: Visualize the distribution of datasets
📈 Bar Charts: Compare categorical data effectively
🔵 Scatter Plots: Explore correlations and trends
🥧 Pie Charts: Represent proportions and percentages
🚀 Getting Started To run the visualizations locally:
bash Copy Edit
git clone https://github.com/prabhatKumar65/Data-Science-Graph-Programe.git
cd Data-Science-Graph-Programe
python .py 🤝 Contributing Contributions are welcome! You can help by adding new graph types, optimizing existing scripts, fixing bugs, or improving documentation.
To contribute:
Fork the repository
Create a new branch (git checkout -b feature-name)
Commit your changes (git commit -m 'Add some feature')
Push to the branch (git push origin feature-name)
Create a Pull Request
📬 Contact For suggestions or queries, feel free to connect via GitHub or raise an issue in the repository.
💻 Happy Coding! Let’s turn data into insights — one graph at a time. 🌟