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Breaking Down Baseball; Analyzing Batter Archetypes via Principal Component Analysis, Hierarchical Clustering, and Logistic Regression
Baseball has a lot of stats. So many, it can be hard to visualize how they work together to define what makes a player "good". This brief, casual analysis of rudimentary baseball statistics explores what made players similar, or different, to each other. Furthermore, we can explore how these players impact the teams they are on.
Brooklyn Bridge Project Visualization
Supplementary visualization of Quasi-Poisson Regression model used in STA321 final project
Regression Analysis of Soil Contents
Assignment 3, Multiple Linear Regression model comparisons
SLR Comparison
W3 Assignment
Comparison of T-Test and Bootstrap Confidence Interval
Assignment Resubmission