Skip to content

Varunkumar2516/Data_Analysis_Projects

Repository files navigation

📊 Data Analysis Projects for Students & Beginners

GitHub last commit GitHub repo size GitHub issues

Welcome to the Data Analysis Projects repository! This collection of hands-on EDA (Exploratory Data Analysis) projects is designed specifically for college students and beginner data enthusiasts. Here, you'll find real-world datasets, thorough analysis, and clear visualizations—all using Python and popular data science libraries.


📚 Table of Contents


📁 Project List

Project No. Project Title Status Description
1️⃣ Sugarcane Production Analysis ✅ Done EDA on sugarcane production dataset across different years and regions.
2️⃣ Covid-19 Data Analysis ✅ Done Analyze the India spread, trends, and impact of the Covid-19 pandemic.
3️⃣ Startup Funding Analysis ✅ Done Analyze the Startups Funding of year (2014-2017) , Analyse about the Investors and there Interesets
4️⃣ IPL DATA (2008-2025) Analysis Not Completed Yet Because of some issues with Integration of data
5️⃣ Titanic EDA- Data Analysis Project ✅ Done Analysis the DIfferent insights from the data set about the Titanic

🔜 More projects are coming soon! Stay tuned.


🔧 Tools & Libraries Used

These projects use the following tools from the Python ecosystem:


🎯 Project Goals

These projects aim to:

  • Help beginners practice data analysis and EDA techniques.
  • Improve understanding of real-world datasets.
  • Build a foundation in data cleaning, visualization, and pattern recognition.
  • Encourage exploration, questioning, and interpretation of data.

🚀 Getting Started

Follow these steps to use the projects:

  1. Clone the repository:
    git clone https://github.com/Varunkumar2516/Data_Analysis_Projects.git
    cd Data_Analysis_Projects
    

💡 How to Contribute

Contributions are welcome! 🙌

You can:

  • Add new datasets or projects
  • Improve visualizations
  • Suggest improvements or ideas

Fork the repository, work on your changes, and submit a pull request.

📌 Please make sure your code is clean, well-commented, and follows Python best practices.


📌 Tags

python data-science eda pandas matplotlib seaborn data-visualization project-repository data-analysis college-projects


📫 Contact

Made with ❤️ by Varunkumar2516
For any questions, suggestions, or collaborations:

📬 GitHub: github.com/Varunkumar2516


📜 License

This repository is open-source and available under the MIT License.