Correlation Studio is a no-code platform for discovering, exploring, and sharing statistical correlations across thousands of public datasets, with a context-aware chatbot and free chat tokens.
What is Correlation Studio?
Correlation Studio is a web-based platform that lets users explore and share correlations without writing code. It ingests public datasets from FRED (St. Louis Fed), IMF, DataHub, and other sources, then automatically computes Pearson correlation coefficients (r values) between any two time series. The platform outputs interactive discoveries, experiments, portfolios, and CSV exports. A chatbot named Corrie provides context-aware insights into all public content, and the service is free with 5,000 initial tokens for new accounts.
What makes Correlation Studio stand out?
- No-code correlation discovery – Select any two datasets (e.g., oil prices vs. gold prices) and instantly view the computed r value with no programming required.
- Corrie chatbot – A context-aware AI assistant accessible via a blue chat icon that answers questions about public datasets and discoveries, using your work as context.
- Portfolio builder – Create rich, interactive guides combining text, images, videos, and embedded discoveries. The official Getting Started guide was built with this tool.
- Token-based chat system – New accounts receive 5,000 free tokens to power chat queries; tokens are consumed per interaction.
- CSV exports – Every correlation discovery can be exported as a CSV file for offline analysis or integration with other tools.
- Pre-loaded economic data – Integrated datasets from FRED, IMF, and DataHub covering oil prices, inflation, interest rates, stock indices, gold, and more—monthly and daily frequencies.
- Home feed with trending topics – Browse 22,266 items across Featured Posts, Portfolios, Experiments, Discoveries, and Datasets, with trending themes like “Iran conflict oil price shock” and “Fed rate hike debate”.
Who should use Correlation Studio?
- Data journalists – Quickly find and share high-correlation relationships between economic indicators (e.g., Brent crude vs. WTI prices) to support stories.
- Researchers and students – Explore FRED/IMF datasets to test hypotheses about inflation, GDP growth, and commodity prices, then export the evidence as CSV.
- Educators – Build interactive, code-free lessons using the Portfolio builder, like the 5-minute “Getting Started” walkthrough.
- No-code data enthusiasts – Anyone curious about correlations who wants to experiment without learning Python or R.
Use cases
- Economic trend analysis: Compare “Crude Oil Prices: Brent – Europe” with “Global Price of Brent Crude” (r = 0.9999) to validate data sources, then export the combined CSV for a report.
- Portfolio-based presentations: Curate a series of discoveries (e.g., gold vs. inflation, S&P 500 vs. oil) into a single, shareable portfolio with explanatory text and videos.
- Chat-driven exploration: Ask Corrie “What datasets correlate with oil prices?” to receive a ranked list of discoveries and experiments without manual searching.
How does it work?
- Register a free account to receive 5,000 initial tokens.
- Browse the home feed or search for datasets by name or topic.
- Select two datasets to run an experiment; the platform automatically computes the correlation coefficient and displays a time-series comparison.
- Use Corrie (blue chat icon) to ask for insights about the results or discover related data.
- Save discoveries, build portfolios (text + images + videos), or export any correlation as a CSV file.
Pricing
Free – New accounts receive 5,000 tokens at signup, which are used for chat queries. Browsing public content, running experiments, and exporting CSV are free. No paid tiers are mentioned.
FAQ
