- EDA singkat: ringkasan statistik dan visual plot, disertai narasi. - Korelasi: pilih Pearson atau Spearman, uji signifikansi, interpretasi arah, besar, dan p-value. - ANOVA satu arah: bandingkan rata-rata target antar kelompok, uji asumsi. - Regresi linear berganda: sekurang-kurangnya tiga prediktor, laporkan koefisien, interval kepercayaan, p-value, R kuadrat dan R kuadrat teradjust, diagnostik residual dan VIF, serta solusi bila asumsi bermasalah. - Regresi logistik biner: bentuk target biner yang bermakna, laporkan odds ratio dan interval kepercayaan, akurasi atau ROC AUC, confusion matrix, dan interpretasi praktis. - Ringkasan dan implikasi kebijakan: tiga sampai lima poin kunci, keterbatasan data, dan saran riset lanjut. - Reproducibility: sertakan seluruh kode R.

This project presents an end-to-end data-driven analysis of aviation accidents in the United States, using real-world data from the National Transportation Safety Board (NTSB). The study focuses on exploring accident patterns, severity factors, and the statistical relationships between aircraft, weather, operational conditions, and outcomes. To uncover actionable insights that help understand the causes, frequency, and severity of aviation incidents, while identifying factors that significantly influence accident outcomes.

Various approaches on how to de-blend resolved and unresolved photometry using ProFound routines.