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Trabalho em Grupo III - Grupo I
Trabalho em grupo III, grupo I, buscas no google trends pelo termo mamão.
Analisis Data Kategorik: Model Regresi Logistik Biner
Laporan ini menyajikan analisis Regresi Logistik Biner menggunakan data Formasi CPNS 2024. Analisis dimulai dengan pemilihan variabel utama, dilanjutkan pembagian data train–test, serta pembangunan model logistik untuk memprediksi peluang formasi menerima pelamar disabilitas. Hasil model dievaluasi melalui Odds Ratio, uji goodness-of-fit Hosmer–Lemeshow, confusion matrix pada data uji, serta kurva ROC dan nilai AUC untuk mengukur performa prediksi. Seluruh tahapan ditulis secara lengkap menggunakan R.
IMDb movie summary sentiment comparison
Comparing top Zootpia summaries to top conjuring Summaries
Punto 5 - Rpubs
Ejercicio sobre una base que vamos a trabajar, la cuál se preocupa si una persona sufrió dolores de garganta después de pasar por una cirugía
R Workshop: Group Project
Group 6 Project
R pub assignment
This analysis examines the NOAA Storm Database to identify U.S. severe weather events that most impact health and the economy. Data on fatalities, injuries, property damage, and crop damage are cleaned and standardized for analysis. Events are ranked by total health impact and total economic damage. Tornadoes and heat waves cause the most human harm, while hurricanes and floods lead in economic losses. The results provide insights for policymakers and emergency managers to prioritize resources and preparedness.