Guía Prestacional de Actividades de Promoción y Prevención en CeSACs de CABA - DGSCOM

Word prediction app - Pablo Guillemi - Nov 2022

"Data Science Specialization - Capstone Project - Milestone"

This presentation is to show a geo-based tracking and monitoring tool

A plotly 3d graph

This is assignment #2 from Coursera's DDP, a leaflet map with a date, centered in Buenos Aires

This project analyses U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database between 1950 and 2011 to classify and describe extreme weather events and its economic damages and levels of harmfulness to population health expressed in casualties and injuries. Classification of events was tidied so as to match NOAA guidelines. Costs were adjusted by cpi inflation. Most damaging and harmful events per state are shown, and a small function providing most damaging and harmful events per state is presented for further use. Overall, the events that have caused most economic damages in the period considered, after adjusting for inflation were floods, and most harmful to population health are tornadoes (it is to note, however that records prior to 1993 mostly include tornadoes). If only events after full use of categories is used, from 1993 to 2011, most damaging events remain floods but most harmful were those related to excessive heat when it comes to casualties, followed by tornadoes.