Prompt Content
Design a Python-based data ingestion pipeline that can collect mock market news articles (title, content, date) and historical commodity prices (date, price). Describe how you would preprocess this raw data for use in both an LLM and time-series forecasting model. Specifically mention how you would handle missing values, normalize prices, and prepare text for sentiment analysis. What data structures will you use?
Try this prompt
Open the workspace to execute this prompt with free credits, or use your own API keys for unlimited usage.
Related Prompts
Explore similar prompts from our community
Usage Tips
Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)
Customize placeholder values with your specific requirements and context
For best results, provide clear examples and test different variations