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Izma

Izma Ivana

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DDPW4 Shiny app Pitch
Application for model selection
DDPW3 World Emissions by Country
Developing data products assignment for week 3, Rmarkdown and plotly
DDPW2 World Fires
Assignment for the second week of the developing data products
RR Project 2 Izma
As part of RR course from Data Science specialization, this document analyses the impact of natural disasters to property and public health in the USA. The data used for the analysis comes from the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database, which has been collected between 1950 and 2011. Due to the significant data storage constraints the data has been processed and aggregated with the focus on property damage and public health in mind. Further, as the data had many input fallacies an expert manual approach has been taken to match the original 48 event types with 985 inputs. The conclusion of this analysis is that the thunderstorm winds have by far the highest impact on property and public health. However, this conclusion is very dependent on the way the inputs are matched to the original event types categories.