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Water Pollution Case Study

Worked on a semester-long group project within Brown's Data Science Institute sourcing, processing, analyzing, visualizing, and summarizing key results and points for our water pollution case study.

Main Analyses

  • Linear/OLS Regression

  • LINE Testing

  • Principal Component Analysis (PCA)

  • Singular Value Decomposition (SVD)

  • Anderson-Darling Test

  • Durbin-Watson Test

  • Breuschpagan Test

Visualizing our results with Tableau