PlotStudio AI

What is PlotStudio AI?

PlotStudio AI is a desktop application that analyzes data using a team of coordinated AI agents. Users upload a dataset and ask questions in plain English, and the agents profile, plan, write and execute Python code, and produce a report with charts, statistics, and a written interpretation focused on key takeaways and actionable insights. Where many AI analysis tools operate as a black box, PlotStudio keeps the generated Python visible and reproducible, and a built-in interpreter lets users run their own code alongside a coding agent. Rather than a chat interface that returns a single surface-level chart in reply to each message, PlotStudio runs a multi-step agentic workflow that carries an analysis from question to decision-ready conclusions.

How to use PlotStudio AI?

1. Create a workspace. Sign in at plotstudio.ai, launch the app, and create a new workspace. 2. Upload your dataset(s). Drop in up to 5 CSV files. Optionally add context to describe how multiple datasets relate to one another. During upload, the agent auto-detects your field — or you can manually pick up to 2 domains from 12 specializations (healthcare, finance, econometrics, etc.) so domain-appropriate methods (e.g., IV/2SLS for causal inference, GARCH for volatility, Cox PH for survival analysis) get applied throughout your workspace. AI agents then take 30–60 seconds to build knowledge of your data through a high-level profiling pass — covering a data cleaning assessment, executive summary, column categorization, correlation surfacing, and missing-value detection. This profiling becomes the foundation the agents draw from in every later analysis. 3. Start with a question. Use the auto-generated suggested questions (organized into business analytics, predictive modeling, statistical analysis, and hidden insights), generate new ones for a specific use case, or write your own. 4. Pick your analysis mode: • Quick Analysis — chart + key takeaway in seconds, ideal for fast EDA. • Analysis Page — deep, multi-step investigation with a full structured report (3–12 minutes). • Auto — the agent picks the best method based on your question. • Verification Mode — review the agent's plan before it runs, ask questions about it, propose methodology changes in plain languages. Lets you work alongside the agent rather than after it. Analysis depth and other per-question controls are configurable — see plotstudio.ai for the full feature list. 5. Run your own code anytime. PlotStudio includes a built-in Python interpreter. Press Ctrl+K to invoke the in-flow coding assistant — describe what you want in natural language, get generated code, edit it, and run it directly. The agent picks back up from your modifications. 6. Review and export the Analysis Page. Deep analyses produce a structured page with code, multiple charts, written interpretation, chain-of-thought reasoning, intermediate artifacts (e.g., cleaned datasets), and actionable recommendations. Export to PDF or download the full Jupyter notebook for portability. 7. Use Workspace Insights for cross-analysis synthesis. Once you've generated multiple Analysis Pages, switch to Workspace Insights mode to ask cross-cutting questions across your entire workspace. The agent synthesizes all of your prior analyses to surface findings, strategic implications, gap analyses, and recommended next steps — with every claim sourced back to the relevant Analysis Page.

PlotStudio AI's Core Features

PlotStudio AI's Use Cases

FAQ from PlotStudio AI