In this report we aim to describe the effects of storms across the United States on population health and the economy, between January 1950 to November 2011. Our overall hypothesis is that certain storm event types have a noticeably more negatitve impact on either population health or the economy. To investigate our hypothesis, we obtained USA storm data orginally from the US National Oceanic and Atmospheric Administration (NOAA), downloaded from the [Cousera course website](https://d396qusza40orc.cloudfront.net/repdata%2Fdata%2FStormData.csv.bz2) for the period January 1950 to November 2011.

Teo.pro_R1

Prototype of hanlding all of the my status and reporting

Santiago Medina

This project analyzes bike-sharing usage patterns of Cyclistic customers and subscribers using Q1 2019 and Q1 2020 ride data. It explores differences in demographics, trip duration, temporal patterns, and station usage to support a marketing strategy that encourages casual riders to convert to annual members.

A recently published study showed that the average serum K[+] response in patients on SZC was greater than in patients treated with SPS. My aim for this challenge was to visualise patient subgroups in which the efficacy of SPS and SZC differed most, based on the simulated data provided by the organisers of "Wonderful Wednesday" (Statisticians in the Pharmaceutical Industry).

AFE y AFC para AutoEvaluación de herramientas IAG Generativas