huinaxu/coursera_programming_3

<<<<<<< HEAD README.md

Summary:

============ The purpose of this project is to collect, work with, and clean a data set, thereby creating a tidy data that can be used for later analysis.

The data linked to from the course website represent data collected from the accelerometers from the Samsung Galaxy S smart phone. It was collected by Anguita et al. (2012). A full description is available at the site where the data was obtained:

http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

Here are the data used for the project:

https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

run_analysis.R script creates a tidy data set as following:

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• Merging the training and the test sets to create one data set.
• Extracting only the measurements on the mean and standard deviation for each measurement.
• Using descriptive activity names to name the activities in the data set
• Appropriately labeling the data set with descriptive variable names.
• Creating a second, independent tidy data set (average_variable_activity_subject.txt) with the average of each variable for each activity and each subject.

Codebook:

============= CodeBook.md has further information on data.

======= run_analysis.R

f2fc69340b3cf37ef592a24e0c1878569e6f0948