The Course Project for the Getting and Cleaning Data Course at Coursera
The R script, run_analysis.R, does the following:
Step 1. Load the activity and feature info
Step 2. Loads both the training and test datasets, keeping only those columns which
reflect a mean or standard deviation.
Step 3. Activity and subject data is loaded from each dataset, and merged the selected
columns with the dataset
Step 4. Merges the two datasets
Step 5. Converts the coloumns activity and subject to factors
Step 6. Creates a cleaned dataset that consists of the average (mean) value of each
variable for each subject and activity pair.
Step 7. The cleaned dataset is exported in the file cleaneddataset.txt.