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Data Cleaning & Regression Pipeline

Interactive 3D data-analysis pipeline: watch a raw dataset with missing values, duplicate rows and outliers get cleaned step by step, then see a live least-squares regression plane refit to the cleaned data with a real R² readout.

Computer Science2DModerate60 FPS📱 Mobile-adapted

Real datasets are never ready to model straight away — rows go missing, get duplicated, or land far outside the pattern everyone else follows. This simulation generates a synthetic three-column dataset with all three problems seeded in, renders it as a live 3D point cloud, and lets you run the same cleaning pipeline a data scientist would: mean-impute the missing column, drop duplicate rows, and sweep a Tukey IQR outlier fence across the result. A least-squares regression plane refits itself to whatever rows survive each step, with a live R² readout showing exactly how much cleaning changes the model you'd trust.

⚙ Under the hood

This simulation allows you to explore the core processes of data analysis, from cleaning and transforming raw data to visualizing insights and building predictive models. By manipulating datasets and applying analytical techniques, you'll gain a practical understanding of how data scientists solve real-world problems.

Data AnalysisModeling

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install