Correlation Studio — Discovery Mining • Causation Analysis

Correlation Studio is a data analysis platform where users explore correlations between datasets through experiments, portfolios, and shared discoveries. The platform hosts over 22,000 items including datasets, experiments, and portfolios, with a focus on statistical relationships between economic and financial data. Users can create and share experiments that calculate mean absolute correlation coefficients (mean |r|) between paired datasets, such as S&P 500 index data versus crude oil prices. The platform supports multiple data formats including CSV and Excel, and integrates with sources like FRED (Federal Reserve Economic Data) and Our World in Data. Content is organized into categories including Featured Posts, Portfolios, Experiments, Discoveries, and Datasets, with user profiles and social features like likes and comments. The platform appears to be community-driven, with users like Corrie and Rango contributing experiments and datasets. Example content includes analyses of oil price shocks and their correlation with stock market indices, using historical data spanning from 1861 to present day. The platform provides tools for data visualization, statistical analysis, and collaborative research, making it useful for researchers, analysts, and data enthusiasts exploring economic relationships.