EDA100% Active LaboratoryVISUALIZATION
Multivariate Relationships & Collinearity Heatmap Visualizer
Dynamic correlation matrix heatmap with VIF (Variance Inflation Factor) gauges and pairwise scatter plots to identify multicollinearity.
EDA • SIMULATIONPearson Correlation & Linear Regression Laboratory
EDA • BIVARIATE ANALYSISPearson r & Linear Fit
Correlation Matrix & Scatter Plot Regression Laboratory
Pearson r:0.993
Target Correlation (r):0.8
Anscombe's / Simpson's Rule:
Pearson correlation r = Cov(X, Y) / (σ_X × σ_Y) measures only linear association. Notice how toggling a single extreme leverage outlier dramatically flips or degrades the regression slope! Never report correlation without visualizing the scatter plot.
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