This is a presentation for the Data Science Capstone. It reveals how the shiny app in predicting the next word would be when given a word or a phrase.

This is an Exploratory Analysis into looking at the idea of Natural Processing Language. The task is to examine 3 different texts (1 Corpora) and use those texts to come up with a predicting algorithm for the next word.

This is a test to publish R Pubs

This project demonstrates the use of Leaflet with R markdown. It shows 5 fun places that people can visit in the state of Ohio.

This project captures the stock adjusted price returns for MCD, WEN, and CMG from January 1, 2000 through the most recent stock date.

This project looks at the UCI HAR Dataset. The data includes 6 exercises for 30 subjects. The summary analysis of this project captures the mean and standard deviation of each of the exercise for the subjects. Below is the instructions to the project: Merges the training and the test sets to create one data set. Extracts only the measurements on the mean and standard deviation for each measurement. Uses descriptive activity names to name the activities in the data set Appropriately labels the data set with descriptive variable names. From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.

This paper looks at the data of ToothGrowth and determines whether Orange Juice or Vitamin C have a greater effect on Guinea Pig tooth growth. Two sample mean test and other analysis are presented for the findings.

This paper looks at the data of MPG and determines whether one can have more mileages by using an automatic automobiles versus manual transmission automobiles. Logistics regression is presented to reveal how much of a difference between mileages of consumption between automatic versus manual automobiles.

This paper gives insight onto building predictive models, such as using Trees, LDA, and Random Forest for the data of Jawbone Up, Nike FuelBand, and Fitbit on exercise. It then determines which model to choose to make the best prediction of on which exercise that a person has take on.

This is a Coursera Project through John Hopkins Data Science: Reproducible Research. In this project we are looking at the Storm Data from US NOAA to find out what is the most severe weather to human health and U.S. Economy.