Scatterplots showing when to use quadratic, square root, log(x), log(y), and log-log transformations

5_DCL_Secadores

This analysis explores the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database to identify weather events most harmful to population health and those with the greatest economic consequences. The database covers storm events from 1950 to November 2011. We found that **Tornadoes** cause the most fatalities and injuries to population health. **Floods** have the greatest economic consequences in terms of property and crop damage combined. Data was processed by aggregating fatalities, injuries, and damage estimates by event type.

Penelitian ini menganalisis data kualitas udara ruangan berdasarkan parameter kecepatan udara (velocity), suhu (temperature), dan kelembapan relatif (RH) menggunakan bahasa pemrograman R. Analisis meliputi statistik deskriptif, pengelompokan kategori, serta visualisasi data untuk menggambarkan kondisi lingkungan ruangan.