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========================================= run_analysis.R

Jason Frakes

This project takes data from the Human Activity Recognition Using Smartphones Dataset, Version 1.0, tidies up the data into one data set, then gives the mean of 79 independent variables grouped by activity.

========================================= The Files

run_analysis.R - The R script that tidies up the data and then writes the avgs.txt file that has the mean of each of the 79 variables grouped by activity.

activity_labels.txt - Data dictionary that cross references activity IDs with their description. Used by the R script as lookups for activity IDs

avgs.txt - What the R script produces. Has the meanof each of the 79 variables grouped by activity

CodeBook.MD - The code book that describes the data used in this script as well as describing all data transformations that take place

features.txt - Data dictionary for the that cross references variable IDs with their description. Used to create well named variables for the data sets

README.MD - This file

x_test.txt - Test data from the Human Activity Recognition Using Smartphones Dataset, used by the R script to generate avgs.txt

x_train.txt - Training data from the Human Activity Recognition Using Smartphones Dataset, used by the R script to generate avgs.txt

y_test.txt - Test activity IDs that are cbinded to the test data, joined to the activity_labels data to create easily understood activities in the data. Data comes from the Human Activity Recognition Using Smartphones Dataset

y_train.txt - Train activity IDs that are cbinded to the train data, joined to the activity_labels data to create easily understood activities in the data. Data comes from the Human Activity Recognition Using Smartphones Dataset

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Course Project for coursera - Getting and Cleaning data

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