Analisis klasifikasi 26 huruf abjad (A-Z) menggunakan metode Linear Discriminant Analysis (LDA) Multinomial pada dataset Letter Recognition. Model dievaluasi dengan confusion matrix dan mencapai akurasi 69,82%. Laporan ini mencakup eksplorasi data, pembangunan model LDA, interpretasi komponen output, visualisasi proyeksi diskriminan, serta identifikasi fitur-fitur paling berpengaruh dalam membedakan antar huruf.

This project analyzes road accident data using R. It includes statistical analysis, data visualization, regression, ANOVA, and basic machine learning techniques to understand accident patterns and predict risk factors.

SOPE 512 - Final Project This document satisfies the requirements for the Coding, Software, & Data Collection Methods Spring Course. It demonstrates proficiency in R programming by conducting a thorough data summary, including frequency tables and boxplots to examine Work Discrimination & The Gender Pay Gap. The analysis focuses on answering: How do race, gender, disability, religion, migration status, and other identity factors intersect to produce compounding workplace discrimination and wage inequality, and what legal protections exist to address them? This document is: A data-driven examination of how race, gender, disability, and other identity factors compound to shape who earns what — and what policy can do about it.