The AI Data Viz Agent leverages large language models to interpret freeform textual instructions, and then orchestrates data processing and plotting libraries to generate code and render visualizations. Users can load datasets in CSV or JSON formats or pass pandas DataFrames directly. Once a dataset is provided, the agent can filter, group, and aggregate data based on prompts like “Show average sales by quarter for top products.” It supports multiple chart types including bar, line, scatter, pie, histogram, and heatmap, with customizable colors, labels, and annotations. The agent runs as a Python package, with optional CLI and API interfaces, enabling integration into notebooks, web services, or automated reporting pipelines.

Synna is a powerful platform that leverages AI and web scraping to automate data gathering and reporting tasks. By removing the need for manual data collection, Synna empowers companies to streamline their operations and optimize various processes. The platform's no-code interface makes it easily accessible for users of all technical backgrounds, ensuring that businesses can focus on analysis and strategic decision-making rather than tedious data retrieval tasks. Synna's AI-driven capabilities offer significant time savings and efficiency improvements, making it an invaluable tool for any organization looking to harness the power of data.