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DATA SCIENCE

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AI Prompt for

Real-time analytics dashboard with Python and Plotly

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Define data structure clearly

Specify JSON format, CSV columns, or data schemas

Mention specific libraries

PyTorch, TensorFlow, Scikit-learn for targeted solutions

Clarify theory vs. production

Specify if you need concepts or deployment-ready code

Pro tip: The more context you provide, the better your results!

ACTUAL PROMPT BELOW

PROMPT

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Build an interactive real-time analytics dashboard. Tech stack: 1. Use Plotly Dash for the web framework. 2. Implement WebSocket connections for live data streaming. 3. Create responsive charts (time series, heatmaps, scatter plots). 4. Add filtering and date range selectors. 5. Implement data aggregation with Pandas for performance. 6. Use Redis for caching frequently accessed metrics. 7. Add export functionality (CSV, PDF reports). 8. Implement role-based access control. Include dark mode toggle and mobile responsiveness.

Disclaimer: AI models can hallucinate. Please verify this prompt's output before use. PromptsVault AI is not responsible for AI-generated content.

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