Getting and Cleaning Data Course Project Repository

Contents of GCData repository:

• README.md -- readme file.
• CodeBook.md -- description of datafields in tidyDataset.txt.
• run_analysis.R -- the R scrip that generates tidyDataset.txt.
• tidyDataset.txt -- the resulting tidy dataset.

Step-by-step description of data manupulations performed by run_analysis.R:

1. Script downloads (if it was not loaded before) the original dataset (https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip), saves it in working directory/UCI HAR Dataset.
2. Script loads the activity labels 'UCI HAR Dataset/activity_labels.txt' and feature info 'UCI HAR Dataset/features.txt'.
3. Script loads training 'UCI HAR Dataset/train/.txt'* and test 'UCI HAR Dataset/test/.txt'* datasets, keeping data columns that contain mean or standard deviation, creates two datasets: train, test.
4. Script loads the activity and subject data for each dataset (train, test), combines columns for each dataset.
5. Script merges the train and test datasets, adds labels.
6. Script converts the activity and subject columns into factors.
7. Script creates tidy dataset allData that consists of the average (mean) value of each variable for each (subject, activity) pair.
8. Script saves allData.mean as tidyDataset.txt file in working directory.