##GetCleanDataProject

###Peer assignment for "Getting and Cleaning Data" Author: Guillermo J. Corominas Megias.

###Description

This project generates a tidy dataset from the one located in https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip in order to be used for further analysis.

###Files

* README.md. This file 
* run_analysis.R. This script does all the work. 
* CodeBook.md. Explains the naming conventions for the variables. 

###Scripts:

####run_analysis.R.

#####1. Requirements:

1.1 The source dataset must be unzipped and placed in a folder called "UCI HAR Dataset" 
in the same directory as the script. 
1.2 Required files (all contained in the "UCI HAR Dataset" directory:
    -features.txt
    -activity_labels.txt
    -./test/subject_test.txt
    -./test/X_test.txt
    -./test/y_test.txt
    -./train/subject_train.txt
    -./train/X_train.txt
    -./train/y_train.txt

####2. Scripts task:

The script will take the data included in the aforementioned files, it will aggregate them into only one 
object and then it will dump the object into a single file. 

The steps required to perform this task are: 

-Read the feature names from disk
-Read X_test.txt, y_test.txt and subject_test.txt and combine them by columns into a single object. 
-Read Y_train.txt, y_test.txt and subject_train.txt and combine them by columns into a single object. 
-Merge both datasets into a single one. 
-Create a new dataset with only the features that contain averages or standard deviations of actual measures, 
the activity column and the subject column.
-Transform feature names to ones that are more readable and that contain no special characters like parentheses. 
-Aggregate the data by subject and activity and compute means and standard deviations for each feature for 
each pair of (subject, activity)
-Add a column of activity labels in order to make the activities easily readable in the final dataset. 
-Reorder the columns placing subject and activity labels before the feature columns. 
-Write the final dataset to disk. 

####3. Output files:

The script will dump the dataset into a file named "tidyDataset.txt" in the running directory.