It is now possible to collect a large amount of data about personal movement using activity monitoring devices such as a Fitbit, Nike Fuelband, or Jawbone Up. These type of devices are part of the “quantified self” movement – a group of enthusiasts who take measurements of themselves regularly to improve their health, to find patterns in their behaviour, or because they are tech geeks. But these data remain under-utilized both because the raw data are hard to obtain and there is a lack of statistical methods and software for processing and interpreting the data. This assignment makes use of data from a personal activity monitoring device. This device collects data at 5-minute intervals throughout 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.

This project is to analyse the natural disaster effect on human population and economic growth from data obtained from U.S. National Oceanic and Atmospheric Administration’s(NOAA) storm database. The database tracks and records data of major storm and weather events across the United States. Analysis of the effect of this natural disaster on human population and economic growth is performed with estimates like fatalities, injuries, property damage, crop damage.