# PlotStudio AI | Agentic Analytics for Academic Research

> An agentic analytics platform built for research. Specialised AI agents plan, code, execute, and interpret analyses on the researcher's own machine — producing defensible, reproducible results suitable for papers, theses, grants, and peer review.

PlotStudio AI is built for work that has to survive peer review. Rather than returning a chart and a paragraph, it writes real R and Python for every step, shows the researcher the code, gates execution behind a statistical plan they approve in advance, and exports a reproducibility package a supervisor or reviewer can trace line by line. Analysis runs locally, so data never leaves the researcher's device — the only workable approach for IRB-governed, NHS, or GDPR special-category data.

## What Makes It Research-Grade

### Local Execution

- All analysis runs on the researcher's own machine; data is never uploaded
- Makes the tool viable for patient records, clinical trial data, and other special-category data that cannot lawfully be sent to a cloud service
- API calls are made directly from the user's environment
- Optional private deployment (Azure / bring-your-own-environment) for institutional data sovereignty

### Human-in-the-Loop Plan Approval

- Every analysis is gated behind a plan the researcher reviews before any code runs
- The plan states methods, assumptions, statistical thresholds, and what counts as success
- An approved, frozen plan functions as a pre-registration and an audit trail
- Review depth is configurable: Off, Plan, Detailed, or Research Protocol

### Skills — Encoded Field Methodology

- A researcher or lab encodes how their field does analysis once: required steps, thresholds, forbidden shortcuts, reporting conventions, references
- The engine then plans, codes, and interprets every subsequent analysis that way
- The domain expert writes the skill; the engine runs it — no generic defaults
- Skills are shareable, so methodology spreads across a lab or department

### R and Python

- Runs R natively alongside Python — clinical, epidemiology, and biostatistics work is R-native, and Python-only tools are disqualified in those fields
- Supports the methods academic work actually requires: survival analysis, Cox proportional hazards, mixed-effects models, regression, ANOVA, multiple-comparison correction
- Domain intelligence across 12 specialisations, including IV/2SLS, GARCH, and Cox PH

### Transparent, Auditable Analysis

- Agents generate and execute real code, with visible chain-of-thought reasoning
- Self-correcting execution with plots, tables, and datasets produced live
- The researcher can read, defend, and hand over every step — nothing is a black box

### Data Profiling

- Immediate data-quality assessment: Clean, Usable, or Needs Cleaning
- Automated cleaning plans the researcher approves before they run
- Handles the messy reality of research data, including REDCap and clinical-system exports

### Analysis Pages

- Permanent, structured analysis documents that accumulate across many questions
- Integrated code, reasoning, and results in one reproducible record
- Fully exportable and citable

### Export and Reproducibility

- One-click PDF reports with formatted visualisations and LaTeX
- Export as a reproducible Jupyter Notebook
- Reproducibility packages a supervisor, reviewer, or collaborator can re-run

## Who It Is For

- PhD students, postdocs, research fellows, and principal investigators
- Clinical, medical, and health researchers working with patient or special-category data
- Epidemiologists, biostatisticians, and public-health researchers
- Researchers in psychology, economics, bioinformatics, engineering, and the social sciences
- Labs standardising analysis methodology across a group

## Key Pages

- [PlotStudio AI](https://www.plotstudio.ai): Product overview
- [Download](https://www.plotstudio.ai/download): Free credits, no credit card required
- [Pricing](https://www.plotstudio.ai/pricing): BYOK and managed-credit tiers
- [Research Partners](https://www.plotstudio.ai/research-partners): Co-author a field-specific Skill and case study
- [Enterprise](https://www.plotstudio.ai/enterprise): Private deployment and institutional data sovereignty
- [Guides](https://www.plotstudio.ai/guides): How-to documentation
- [Resources](https://www.plotstudio.ai/articles): Article library
- [Blog](https://www.plotstudio.ai/blog): Original writing from the team

## Background Reading

- [What Is Agentic Analytics?](https://www.plotstudio.ai/what-is-agentic-analytics): The category PlotStudio AI defines
- [Can You Trust AI Data Analysis?](https://www.plotstudio.ai/can-you-trust-ai-data-analysis): On verification and rigor
- [Why AI Agents Fail at Data Analysis](https://www.plotstudio.ai/why-ai-agents-fail-at-data-analysis): Common failure modes
- [The Emotional Trust Gap in AI Analytics](https://www.plotstudio.ai/blog/the-emotional-trust-gap-in-ai-analytics): Why researchers distrust AI tools
- [What We Learned Building AI Agent Data Analytics](https://www.plotstudio.ai/blog/what-we-learned-building-ai-agent-data-analytics): Engineering notes

## Comparisons

- [PlotStudio AI vs Julius AI](https://www.plotstudio.ai/blog/julius-ai-vs-plotstudio-ai): Head-to-head on the same data
- [ChatGPT vs PlotStudio, Same Question Same Data](https://www.plotstudio.ai/blog/chatgpt-vs-plotstudio-same-question-same-data): Side-by-side comparison
- [Julius AI Alternatives](https://www.plotstudio.ai/julius-ai-alternatives): Category overview
- [ChatGPT Code Interpreter Alternative](https://www.plotstudio.ai/chatgpt-code-interpreter-alternative): For data that cannot be uploaded
- [AI Data Analyst](https://www.plotstudio.ai/ai-data-analyst): Category overview

## Demonstrations

- [The Effortless Academic](https://www.youtube.com/watch?v=-VKYuU6nsBo)
- [Analyzing 4,240 Patient Records with PlotStudio](https://www.youtube.com/watch?v=ps0ZMSOy2-s)
- [I Tried Agentic Analytics with PlotStudio AI](https://www.youtube.com/watch?v=Fl-FmhsB48s)
- [How to Use AI to Build a Data Analyst Portfolio Project (2026)](https://www.youtube.com/watch?v=Tc6hntGNyeY)
- [Public datasets and downloadable notebooks](https://github.com/ar5labs/plotstudio-ai-demo): Six real analyses with reproducible notebooks

## Recent Articles

- [Kaplan Meier Curves: A Practical Guide for Analysts](https://www.plotstudio.ai/articles/kaplan-meier-curves): Learn how to read, build, and interpret Kaplan Meier curves. Covers the math, log-rank tests, Python and R code, and common pitfalls with censoring.
- [10 Key Market Analysis Methods for 2026](https://www.plotstudio.ai/articles/market-analysis-methods): Explore 10 essential market analysis methods with steps, visuals, pros/cons, and agentic analytics guidance for 2026.
- [Healthcare Data Analytics: A Practitioner's Guide](https://www.plotstudio.ai/articles/healthcare-data-analytics): Learn how to use healthcare data analytics to drive actionable insights, improve patient outcomes, and optimize clinical operations in 2026.
- [Pseudonymization vs Anonymization: The Practitioner's Guide](https://www.plotstudio.ai/articles/pseudonymization-vs-anonymization): Discover the critical differences between pseudonymization and anonymization, and learn how each impacts data privacy, compliance, and research utility.
- [Story AI Maker: Generate, Edit & Publish Better Narratives](https://www.plotstudio.ai/articles/story-ai-maker): Unlock your creativity with a story AI maker. Generate, edit, and publish compelling narratives faster with this powerful AI tool.
- [Cohort Analysis Methods: A Practical Guide for Researchers](https://www.plotstudio.ai/articles/cohort-analysis-methods): Discover how cohort analysis methods can enhance your research by unraveling age and calendar effects, tracking outcomes over time.
- [Financial Data Analysis: A Practical Guide for 2026](https://www.plotstudio.ai/articles/financial-data-analysis): A complete guide to financial data analysis. Learn the goals, methods, and workflow from data sourcing and cleaning to modeling, backtesting, and visualization.
- [Time Series Forecasting Methods for Data Analysts](https://www.plotstudio.ai/articles/time-series-forecasting-methods): Discover effective time series forecasting methods for data analysts. Learn how to choose and implement techniques for accurate predictions.
- [Social Science Data Analysis Software: 2026 Guide](https://www.plotstudio.ai/articles/social-science-data-analysis-software): Compare 2026 social science data analysis software. Explore features, workflows, and how PlotStudio's agentic analytics change the game.
- [HIPAA De-Identification: A Compliance Officer's Playbook](https://www.plotstudio.ai/articles/hipaa-de-identification): Master HIPAA de-identification with essential strategies. Learn how to effectively use Safe Harbor and Expert Determination for compliance.
- [PhD Qualitative Data Analysis Services Help: A Practical](https://www.plotstudio.ai/articles/phd-qualitative-data-analysis-services-help): Get expert PhD qualitative data analysis services help in 2026. Streamline your research with practical support from experienced analysts.
- [Sample Size Determination: A Practical Guide for Researchers](https://www.plotstudio.ai/articles/sample-size-determination): Discover how to effectively determine sample size for your research. This practical guide simplifies the process for accurate results.
- [PhD Data Analysis Help: A Rigorous Workflow Guide](https://www.plotstudio.ai/articles/phd-data-analysis-help): Get reliable PhD data analysis help with a reproducible workflow. Learn method selection, validation, and tools that produce publication-ready results.
- [Propensity Score Matching: A Practical Guide for Researchers](https://www.plotstudio.ai/articles/propensity-score-matching): Discover how to effectively apply propensity score matching to estimate treatment effects, enhance your research methods, and achieve reliable results.
- [PhD in Data Analysis: Curriculum, Timeline, and Career Paths](https://www.plotstudio.ai/articles/phd-in-data-analysis): Explore what a PhD in data analysis entails, from rigorous coursework and dissertation milestones to career outcomes in academia and industry research.
- [Best SAS Alternatives for Researchers and Analysts in 2026](https://www.plotstudio.ai/articles/sas-alternatives): Discover the best SAS alternatives for 2026 tailored to your research needs. Explore options like R, Python, Databricks, and more!
- [Data Analysis PhD: A Practitioner's Guide to the Degree](https://www.plotstudio.ai/articles/data-analysis-phd): A data analysis PhD guide for prospective students. Learn what the degree covers, how to choose a program, funding, timelines, and career outcomes.
- [Data Anonymization Techniques: A Practitioner's Guide](https://www.plotstudio.ai/articles/data-anonymization-techniques): Discover effective data anonymization techniques tailored to your needs. Learn methods for internal analytics and external data releases today!
- [Data Analysis PhD Program: A Practitioner's Guide](https://www.plotstudio.ai/articles/data-analysis-phd-program): Thinking about a data analysis PhD program? Compare degrees, coursework, timelines, funding, and application tips from a researcher's perspective.
- [Best Data Cleaning Tools for Data Professionals in 2026](https://www.plotstudio.ai/articles/best-data-cleaning-tools): Discover the best data cleaning tools for 2026, including Plotstudio and Informatica, to optimize your data governance and analysis workflows.
- [PhD Data Analysis: A Complete Workflow for Rigorous Research](https://www.plotstudio.ai/articles/phd-data-analysis): Master PhD data analysis with a step-by-step workflow for framing, methods, validation, and reproducible results tailored to doctoral research.
- [Best Data Reporting Tools for Academic Researchers 2026](https://www.plotstudio.ai/articles/best-data-reporting-tools): Discover the best data reporting tools for academic researchers in 2026. Ensure compliance and reproducibility with local-first platforms like Plotstudio.
- [Clinical Data Analysis Software: A Practical Guide](https://www.plotstudio.ai/articles/clinical-data-analysis-software): Learn what clinical data analysis software does, core capabilities, regulatory needs, evaluation checklist, and how agentic tools like PlotStudio fit in.
- [AI for Academic Research: Agentic Analytics Guide](https://www.plotstudio.ai/articles/ai-for-academic-research): Explore AI for academic research to streamline literature review, data analysis, and reproducibility, with practical workflows and ethical insights.
- [AI Data Analysis: A Practical 2026 Guide for Data Teams](https://www.plotstudio.ai/articles/ai-data-analysis): Unlock insights faster with AI data analysis. Discover how to pilot AI for data preparation and boost your team's efficiency in 2026.
- [Best Regression Software for Reproducible Academic Research](https://www.plotstudio.ai/articles/best-regression-software): Discover the best regression software for reproducible academic research. Plotstudio ensures peer-review-ready, compliant analyses with ease.
- [Jupyter Notebook to PDF: Reproducible Exports for Research](https://www.plotstudio.ai/articles/jupyter-notebook-to-pdf): Discover the best methods to export a Jupyter Notebook to PDF. Choose WebPDF, LaTeX, or Browser Print for your research needs.
- [AI for Literature Review: A Researcher's Guide](https://www.plotstudio.ai/articles/ai-for-literature-review): Learn how AI for literature review can streamline your research. Discover tools and workflows to save time and improve rigor.
- [Alteryx Alternatives for Academic Researchers: 2026 Guide](https://www.plotstudio.ai/articles/alteryx-alternatives): Discover top Alteryx alternatives for academic researchers. Explore Plotstudio, KNIME, and R/Python for privacy-focused data analysis.
- [Are Data Analysts Obsolete? the 2026 Reality Check](https://www.plotstudio.ai/articles/are-data-analysts-obsolete): Are data analysts obsolete in 2026? Get labor-market data, automation percentages, and a candid look at which skills AI replaces and which it raises.