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