Data Science Capstone - Predictive Text Data Product

Data Science Capstone - Predictive Text Data Product

The following paper is a milestone report written for the Capstone Project of the Data Science Specialisation by Johns Hopkins University on Coursera.

A course assignment for the Developing Data Products course by Johns Hopkins University on Coursera

This relates to an assignment for the Developing Data Products course by Johns Hopkins University on Coursera

Cousera - Reproducible Research - Peer Assessment 2 - Johns Hopkins University Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many weather severe events can result in fatalities, injuries, property damage, and crop damage and preventing such outcomes to the extent possible is a key concern. This paper explores the National Oceanic and Atmospheric Administration (NOAA) storm dataset. The dataset tracks the type and characteristics of major storms and weather events in the USA, including but not limited to where the occur, when they occur, estimates of any fatalities, injuries, and property damage. The dataset timespan of the dataset runs from the year 1950 and ends in November 2011.