garza / getting-and-cleaning-data-course-project

coursera project submission

Getting and Cleaning Data - Course Project

This is the course project for the Getting and Cleaning Data Coursera course. The R script, run_analysis.R, does the following:

• Downloads the dataset if it doesn't exist, unzips
• Loads the activity and feature text files
• Loads training and test datasets, merges them
• Extracts only the measurements on mean and standard deviation.
• Applies descriptive activity and features names from the files loaded in the first load step above.
• Appropriately labels the dataset with descriptive names
• Saves the resultant data set to a file namedtidy.txt

The R script requires the following packages to be installed:

• library(data.table): for easy data table reading
• library(reshape2): for melting the data
• library(dplyr): for creating a tidy data set