🎨 DataCraft

Because life's too short for messy data! ✨

🌟 About DataCraft

DataCraft is a professional-grade data cleaning application designed to streamline data preprocessing. Built using Streamlit, DataCraft offers an intuitive interface that simplifies data transformation, making it efficient and effective.

Watch the Demo

🎯 Key Features

• Data Cleaning: Seamlessly remove missing values for improved dataset integrity.
• Text Processing: Perform advanced text transformations with ease.
• Interactive Visualizations: Gain insights through dynamic data visualizations.
• Outlier Detection: Identify and manage anomalies in your dataset.
• User-Friendly Interface: A sleek and professional UI with particle animation enhancements.

🚀 Getting Started

Clone the Repository

git clone https://github.com/yourusername/DataCraft.git
cd DataCraft

Install Dependencies

pip install -r requirements.txt

Run the Application

streamlit run app.py

🛠️ System Requirements

DataCraft leverages a robust set of libraries to enhance its capabilities:

• Streamlit – Interactive web-based UI
• Pandas – Data manipulation and analysis
• NumPy – Numerical computations
• Plotly – Advanced visualizations
• Scikit-learn – Machine learning utilities
• Textacy – Text data preprocessing
• And more! (See requirements.txt for full details)

💡 Usage Instructions

1. Upload a CSV file.
2. Select the desired data cleaning options via the sidebar.
3. Observe real-time transformations.
4. Download the refined dataset for further analysis.

🌍 Try DataCraft Live

Access the Web App