The experiments have been carried out with a group of 30 volunteers within an age bracket of 19-48 years. Each person performed six activities (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) wearing a smartphone (Samsung Galaxy S II) on the waist. Using its embedded accelerometer and gyroscope, researchers captured 3-axial linear acceleration and 3-axial angular velocity at a constant rate of 50Hz (resulting in 561-feature vector with time and frequency domain variables).

The data file tidy_data_average.txt extracts calculated means on the following signals:
tBodyAcc-XYZ
tGravityAcc-XYZ
tBodyAccJerk-XYZ
tBodyGyro-XYZ
tBodyGyroJerk-XYZ
tBodyAccMag
tGravityAccMag
tBodyAccJerkMag
tBodyGyroMag
tBodyGyroJerkMag
fBodyAcc-XYZ
fBodyAccJerk-XYZ
fBodyGyro-XYZ
fBodyAccMag
fBodyAccJerkMag
fBodyGyroMag
fBodyGyroJerkMag

1. Downloads the original data set and extracts to zip file, if there isn't one already in a folder named data in the current working directory
2. Reads the files in the data set
3. Merges the training and the test sets to create one data set.
4. Extracts only the measurements on the mean and standard deviation for each measurement.
5. Uses descriptive activity names to name the activities in the data set
6. Appropriately labels the data set with descriptive activity names.
7. Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

• Clone this repository
• Change current directory to the project folder.
• Run Rscript <path to>/run_analysis.R
• The tidy data set should be created in the current directory as tidy_data.txt
• The tidy data set of averages should be created in the current directory as tidy_data_average.txt
• Code book for the tidy data set is available here