Quick VU

Quick VU (Quick Visual Understanding) is an easy-to-use tool for data preparation, analysis, and visualization. It helps you clean, explore, and visualize your data without coding. Just upload your data, choose your analysis, and Quick VU will guide you through the process.

📌 Project Objective

Quick VU (Quick Visual Understanding) is a user-friendly tool for data preparation, analysis, and visualization. It allows you to clean, explore, and visualize your data without any coding. Simply upload your dataset, choose your analysis, and let Quick VU guide you through the process.

• Quickly clean your data and export it for further analysis.
• Efficiently analyze your data and gain insights.

📃 Features

• QuickPrep: A data cleaning tool that helps with tasks such as column name standardization, handling missing values, detecting and removing outliers, changing data types, filtering rows, and scaling data.

• QuickGlance: A data analysis tool that provides summary statistics, visualizes correlations, and generates quick plots to give you a better understanding of your data.

📦 Installation

1. Clone the Repository

   git clone https://github.com/yourusername/quick-vu.git
   cd quick-vu

2. Create a conda envirioment Assuming you have ananconda installed on your system

   conda create -name quickvu python=3.12
   conda activate quickvu

3. Install Dependencies Ensure you have Python installed. Then, install the required packages:

   pip install -r requirements.txt

4. Install Google API SDK The Python SDK for the Gemini API is contained in the google-generativeai package. Install the dependency using pip:

   pip install -q -U google-generativeai

5. Run the Application Start the Streamlit app:

   streamlit run app.py

6. Use Quick VU

   • Open the provided local URL in your browser.
   • Upload your CSV dataset and start exploring your data!
     OR
   • Visit: https://quickvu.streamlit.app/

🤝 Contributions

Contributions are welcome! If you have suggestions, bug reports, or want to contribute code, please open an issue or submit a pull request.

📄 License

This project is licensed under the MIT License.

📧 Contact

For any inquiries or feedback, please contact Asif Sayyed.

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With Quick VU, you can explore and understand your data efficiently without the need for coding. Simplify your data analysis process and gain valuable insights effortlessly.