raccoon-dataanalysis

Remote data analysis delegates processing to an external API, allowing you to analyze Excel and CSV inputs and generate visuals securely in a sandboxed environment without handling data locally.

Yes, you can use a remote API to generate data visualizations by uploading your files to start a multi-turn analysis session, which returns charts and analytical artifacts directly from the sandbox.

Maintaining context during multi-turn data analysis sessions is handled through session management features, allowing you to upload files and conduct continuous conversations with streaming feedback for reproducible insights.

Remote data analysis supports streaming feedback during code execution by utilizing SSE-based streaming, which returns results and generated visuals progressively as the sandboxed processing completes.

You retrieve artifacts and charts after running sandboxed code by requesting artifact retrieval through the remote API, ensuring the visual outputs and data insights from your session are safely exported.

Yes, you need the requests library as a dependency to connect your environment to the remote data analysis API, which manages authentication, file uploads, and the streaming session responses.