Submission for the Getting and Cleaning Data Coursera class project. https://class.coursera.org/getdata-013

This GitHub repository is part of the submission of project detailed here: https://class.coursera.org/getdata-013/human_grading/view/courses/973500/assessments/3/submissions

The data this repository is concerned with was downloaded from: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

The repo contains the following files:

• readme.md --- this file - provides overview of the analysis
• codebook.txt --- describes the processed data
• data_download.R --- Windows script to download the original data
• run_analysis.R --- R script performing the analysis as per the instruction notes linked above

The analysis steps are explained in comments in the run_analysis.R file, but the general process is to:

1. load both (test and train) data tables and attach columns indicating performed activity and the subject
2. merge the tables by appending one to another
3. perform a join to activity labels
4. select only columns with mean and std (standard deviation) measurement data
5. average the measurement data by activity and subject - in other words getting a mean of all values for each possible combination of subject and activity
6. sort the resulting table

You can read the final dataset by using:
sorteddata <- fread('sorteddata.txt')