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Use linear regression to predict future sales based on marketing spend, seasonal factors, and historical data.
linear_regression
Apply ARIMA modeling to forecast monthly revenue with confidence intervals and seasonal decomposition.
arima_forecast
Compare conversion rates between control and treatment groups using t-test with effect size calculation.
t_test
Analyze relationships between variables with correlation matrix, heatmaps, and significance testing.
correlation_matrix
Segment customers into distinct groups using k-means clustering with silhouette analysis.
k_means
Reduce feature dimensions while preserving variance using Principal Component Analysis.
pca
Pre-loaded datasets including Boston Housing, Coffee Ratings, and Sales Performance data
Every analysis generates a shareable report with visualizations and insights
See actual MCP tool execution with realistic response times and outputs
Connect MCP Analytics to Claude Desktop and start analyzing data in minutes