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.

Data Analysis Agent wraps an LLM-based agent around a Pandas DataFrame to let users perform exploratory data analysis via natural language. When a user asks a question, the agent generates the required Python code, executes it, and returns results or charts. If a query is ambiguous, it asks clarifying questions before proceeding. It supports filtering, grouping, aggregation, summary statistics, and visualization libraries like Matplotlib or Seaborn for immediate insights, streamlining the analytics workflow and reducing the need to write boilerplate code.

Plotly is a cutting-edge data visualization library designed to create interactive, publication-quality graphs and charts tailored to various analytics needs. Built on top of d3.js and stack.gl, it supports a wide array of chart types, including 3D plots. With its versatile library implementations in Python, R, and JavaScript, it enables users, from developers to data scientists, to translate complex data into actionable insights effortlessly. The platform's rich graphical capabilities and intuitive design make it an essential tool for effective data presentation in research, business analyses, and various industries.