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sinjin

Mark St. John

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Predictive Text App Presentation
Predictive text algorithm demonstration using a Shiny web app.
Predictive Text Milestone Report
Milestone report in partial fulfilment of Coursera Data Science Specialization Capstone.
Human health and economic impacts of severe weather
[Submitted as part of the course Reproducible Research] ]Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This paper analyses estimates of fatalities, injuries, and property damage of major storms and weather events in the United States using the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database (download link; see also the documentation [PDF document] and the National Climatic Data Center Storm Events FAQ [PDF document]). The analysis that follows indicates that across the US the weather events that have the largest annual impact on popultion health (injuries + fatalities) are: floods, ice storms and blizzards. Those that have the greatest economic consequences through property and crop damages are floods, hurricanes and ice storms.