JHU-Capstone swiftKey final project

This project analyzes the HC Corpora Dataset with the end goal of creating a Shiny App for predicting n-grams. This first milestone report summarizes an exploratory data analysis.

This report is a brief description of the relationship between transmission type (manual or automatic) and miles per gallon (MPG).

R Markdown Presentation & Plotly

A simple web page using R Markdown that features a map created with Leaflet.

This document is the final report of the Peer Assessment project from the Practical Machine Learning course, which is a part of the Coursera John’s Hopkins University Data Science Specialization. It was written and coded in RStudio, using its knitr functions and published in the html and markdown format. The goal of this project is to predict the manner in which the six participants performed the exercises. The machine learning algorithm, which uses the classe variable in the training set, is applied to the 20 test cases available in the test data.

Reproducible Research Analysis of 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.

Analysis of airquality samples in R