This presentation is a pitch for the R Shiny application, which is the final project for Coursera Data Science course.

The Report presents basic exploratory analysis for Capstone Project in Data Science Specialization

Slidify presentation as a part of assignment for Developing Data Products course

This document presents making of RStudio leaflet map of meteorite landing sites.

Project assignment for Regression Models in coursera Data Science specialization

This project makes use of data from a personal activity monitoring device. The device collects data at 5 minute intervals through out 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.

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 project involves exploring the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage. This data analysis looks addresses the following questions: Across the United States, which types of events (as indicated in the EVTYPE variable) are most harmful with respect to population health? Across the United States, which types of events have the greatest economic consequences?