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Domain Skill General Analysis

TelecomGeneral Analysis
4m 37s

Customer Churn Dataset · 7,043 rows · 21 columns

How can we predict which customers will churn in the next 30 days and evaluate the model with a lift chart?

  • Churn model achieved ROC-AUC of 0.842 — targeting the top 30% of risk scores captures 64.7% of actual churners
  • Tenure and contract structure dominate: newer month-to-month customers are the highest-risk segment
General Analysis
Domain Skill

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Features
1Data Profiling

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  • Data quality scored as Clean, Usable, or Needs Cleaning
  • Every column profiled with distributions, missing values, and outliers
  • AI-written executive summary of your data
2Suggested Questions

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  • Questions grouped by Exploratory, Business, Statistical, and Predictive
  • Each question maps to specific columns in your data
  • One click to run — no prompt engineering needed
3Agentic Analysis

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  • AI plans the investigation, writes Python, and iterates
  • Self-correcting — reads errors, diagnoses, and rewrites
  • Full transparency — see every line of code
4Domain Intelligence

12 Specialized Domains. Zero Configuration.

  • Auto-detects your field — econometrics, finance, healthcare, and 9 more
  • Applies domain-specific methods like IV/2SLS, GARCH, or Cox PH automatically
  • Upgrades to stronger models when domain expertise is needed
5Data Lineage

See How Every Dataset Connects.

  • Visual DAG of how datasets derive from each other
  • Transformation types color-coded — cleaning, aggregation, joins, and more
  • Full provenance chain so you can trace any result back to raw data
6Analytics Library

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  • Clickable references link to plots and datasets
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7Data-Driven Insights

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  • Cross-analysis pattern detection
  • Every claim cited to its source — nothing fabricated
8Export PDF

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  • PlotStudio branding, data source citations, and page numbers
  • Share findings with stakeholders who don't use PlotStudio
9Export Notebook

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  • Export any analysis as a Jupyter notebook with all code and outputs
  • Fully reproducible — run it anywhere Python runs
  • Bridge between AI-assisted and traditional workflows
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A Senior Economist at the Ontario Government puts PlotStudio AI to the test.
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1980 US Census

427K observations. He pushed the AI to do instrumental variable estimation and causal inference on a dataset he already knew.

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Bangladesh Macroeconomic Data

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This is a 4-minute clip from that session.

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Senior Economist

Ontario Government

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AR5 Labs
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Export your entire analysis in one click. A Jupyter notebook with every step. Your source datasets, derived tables, and all visualizations as PNGs. Open it anywhere. Hit Run All. Same results. Hand it to a reviewer, a collaborator, a professor — they see exactly what was done. No black box. Just a ZIP file that stands on its own. Reproducibility, built in.

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Everything you need to know about PlotStudio

FAQ

PlotStudio AI is a desktop application for agentic data analytics. You upload a dataset, ask questions in plain English, and a team of specialized AI agents — a query router, analysis coordinator, Python programmer, and synthesis engine — collaborates to plan, code, execute, and narrate multi-step analyses. The result is publication-ready analysis with code, visualizations, statistics, and executive-grade narrative, delivered in seconds instead of hours.

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