PROMPT_PARA_POSITRON_Carta_MEM

Guía_Desarrollo_de_Shiny_Apps_en_Positron

Guía_ShinyApps_Principiantes

This analysis explores the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database to determine which severe weather events are most harmful to population health and the economy. The data spans from 1950 to 2011. To evaluate health impacts, fatalities and injuries were aggregated by event type. To evaluate economic consequences, property and crop damage estimates were converted into total dollar amounts and aggregated. The analysis concludes that Tornadoes are overwhelmingly the most harmful to population health, causing the highest number of injuries and fatalities. Meanwhile, Floods have the greatest economic consequences, causing the highest total property and crop damage.

Dalam statistik, kita sering ingin melakukan resampling untuk menguji keakuratan estimasi sampel kita. Ini disebut bootstrapping—sebuah tes yang didasarkan pada pengambilan sampel acak berulang dengan pengembalian (replacement). Dalam pembelajaran kali ini, kita akan: (1) menghasilkan 1000 sampel acak baru dari sebuah vektor (dengan pengembalian), (2) menghitung estimasi tertentu (misalnya, mean, median, dll.) untuk setiap sampel tersebut, dan (3) menghitung standar deviasi dari distribusi estimasi tersebut.