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Regression Analysis of MTCars dataset
Regression Analysis Assignment of the mtcars dataset for the Regression Models course in the Johns Hopkins Data Science Specialization.
Peer Assessment 2
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.
PeerAssessment2_1
Reproducible Research peer assignment 2 for the July section of the JHU course. The document summarizes extreme weather events in the U.S since 1950 and the impact on people's health and property.
Health and Economic Impact of Major Storm Events in the USA: 1996 to 2011
An analysis for assignment 2 in the Coursera Reproducible Research course
Depo Prep
Depo Prep
Analysis of Personal Activity Monitoring Device Data
The following report analyzes data from a personal activity monitoring device such as a [Fitbit](http://www.fitbit.com/), [Nike Fuelband](http://www.nike.com/us/en_us/c/nikeplus-fuelband), or [Jawbone Up](https://jawbone.com/up) to answer several questions listed below. This device collects data at 5 minute intervals through out the day. The data consists of two months of data from an anonymous individual collected during the months of October and November, 2012 and include the number of steps taken in 5 minute intervals each day.
Health and Economic Consequenses of Weather Events in the United States - An Analysis of NOAA Storm Data from 1950 to November 2011
This report uses data from the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database to analyze the impact of severe weather on both human health and the economy. The analysis in this report determines the types of severe weather events that are most harmful to human heath and those which have the greatest economic consequences.
Health and Economic Effects of Severe Weather Across the United States
Peer Assessment 2 for reproducible research. study of weather effects from the very messy National Weather Service database
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