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--- |
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title: Data Visualization App Using GenerativeAI |
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emoji: 🔥 |
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colorFrom: indigo |
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colorTo: purple |
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sdk: gradio |
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sdk_version: 5.23.3 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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short_description: Data Visualization app using generative AI |
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--- |
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# Data Visualization & Cleaning AI |
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An intelligent data analysis tool that automatically processes CSV, Excel, JSON, and text files to generate insightful visualizations and cleaning recommendations. |
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## Features |
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- **Automatic Data Analysis**: Generates statistical summaries, detects outliers, and identifies data quality issues |
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- **AI-Powered Insights**: Leverages GPT and HuggingFace models to provide cleaning recommendations and analysis insights |
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- **Interactive Visualizations**: Creates distribution plots, correlation heatmaps, PCA visualizations, and more using Plotly |
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- **Smart Data Cleaning**: Offers tools to handle missing values, outliers, duplicates, and data type conversions |
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- **Multi-Format Support**: Works with CSV, Excel, JSON, and text files with intelligent separator detection |
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## Getting Started |
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1. Upload your data file in the Data Analysis tab |
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2. Click "Analyze Data" to generate visualizations and insights |
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3. Review the AI-powered cleaning recommendations |
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4. Apply cleaning operations in the Data Cleaning tab |
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5. Download your cleaned dataset for further analysis |
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## Technical Details |
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Built with: |
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- Pandas and NumPy for data processing |
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- Plotly, Matplotlib and Seaborn for visualizations |
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- scikit-learn for PCA and standardization |
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- OpenAI GPT models for intelligent recommendations |
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- HuggingFace models for additional insights |
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- Gradio for the interactive web interface |
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## Usage Notes |
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For full AI-powered features, configure your API keys in the Settings tab. |
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The app can also run in demo mode with reduced AI capabilities. |
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