| --- |
| title: Data Visualization App Using GenerativeAI |
| emoji: 🔥 |
| colorFrom: indigo |
| colorTo: purple |
| sdk: gradio |
| sdk_version: 5.23.3 |
| app_file: app.py |
| pinned: false |
| license: apache-2.0 |
| short_description: Data Visualization app using generative AI |
| --- |
| |
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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 |
| - **AI-Powered Insights**: Leverages GPT and HuggingFace models to provide cleaning recommendations and analysis insights |
| - **Interactive Visualizations**: Creates distribution plots, correlation heatmaps, PCA visualizations, and more using Plotly |
| - **Smart Data Cleaning**: Offers tools to handle missing values, outliers, duplicates, and data type conversions |
| - **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 |
| 2. Click "Analyze Data" to generate visualizations and insights |
| 3. Review the AI-powered cleaning recommendations |
| 4. Apply cleaning operations in the Data Cleaning tab |
| 5. Download your cleaned dataset for further analysis |
|
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| ## Technical Details |
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| Built with: |
| - Pandas and NumPy for data processing |
| - Plotly, Matplotlib and Seaborn for visualizations |
| - scikit-learn for PCA and standardization |
| - OpenAI GPT models for intelligent recommendations |
| - HuggingFace models for additional insights |
| - 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. |
| The app can also run in demo mode with reduced AI capabilities. |
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