Rail accident data: PCA

Problem

Multiyear railroad accident data contains many related variables. I explored how dimensionality reduction helps interpret those relationships.

Approach How I thought about it

• I used principal component analysis and matrix decomposition to explore relationships in multiyear railroad accident data.

What I built or did

• I analyzed railroad accident data from 2001 to 2024 using statistical computing and visualization.

Results

• Completed

  Academic exploration of dimensionality reduction, relationships among variables, and graphical interpretation.

Tools

• R
• RStudio
• PCA
• Singular value decomposition
• R Markdown
• lattice
• psych