Data Science Capstone final project Natural-Language Processing

Data Science specialization final project - Coursera

The goal of this report is to display what I have gotten used to working with a specific data and what I am on track to create my prediction algorithm regarding this data.

Example of using Shiny - Generation of fractals This is a Coursera peer assessed assignment for the course "Developing Data Products".

The U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database is briefly analyzed aiming to know which types of events are both most harmful with respect to population health and have the greatest economic consequences. The programming language R is used to perform the neccesary calculations and plots for this analysis. The data used belongs to the period between the years 1950 and 2011. This report can be useful for all those who have the responsibility for preparing for severe weather events and, as a consequence, will need to prioritize resources for different types of events. At the end of this report there is a section with the results and conclusions of the analysis and some corresponding recommendations.