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Coursera Reproducible Research Class, 2nd Peer Assessment
The goal of this report is to expose the results of the analysis of the NOAA Storm Database to answer the following questions about severe weather events: * Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health? * Across the United States, which types of events have the greatest economic consequences? We found that events categories with the most impact for the population health, are not in general the same ones having the biggest economic consecuences.
Homework for ^
Peer assessment 2 for Coursera Reproducible Research course.
Regression Analysis Assignment of the mtcars dataset for the Regression Models course in the Johns Hopkins Data Science Specialization.
In this report we aim to describe the changes in fine particle (PM2.5) outdoor air pollution in the United States between the years 1999 and 2012. Our overall hypothesis is that out door PM2.5 has decreased on average across the U.S. due to nationwide regulatory requirements arising from the Clean Air Act. To investigate this hypothesis, we obtained PM2.5 data from the U.S. Environmental Protection Agency which is collected from monitors sited across the U.S. We specifically obtained data for the years 1999 and 2012 (the most recent complete year available). From these data, we found that, on average across the U.S., levels of PM2.5 have decreased between 1999 and 2012. At one individual monitor, we found that levels have decreased and that the variability of PM2.5 has decreased. Most individual states also experienced decreases in PM2.5, although some states saw increases.