README - Coursera Course "Getting and Cleaning Data" - Peer Review Assignment

Programming Task:

The data from the study found at "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip" is found in different datafiles across the zip file. We are supposed to bring the training and test data together into a tidy dataset and remove unnecessary information.

Files in the main directory include:

• "activity_labels.txt" - a file that matches an activity number to an activity description
• "features.txt" - a file that describes the variable names for variables found in "X_*.txt" files

There are 2 subdirectories:

• "train" - contains training data
• "test" - contains test data to test the modell

Each subdirectory consists of 3 files and another subdirectory with raw data. We are only looking at the processed data in the first subdirectory.

Files in ./train/ and ./test/:

• "X_[train|test].txt" - contains all measurements for each observation. Labels for each variable is found in "../features.txt" Each observation is from one of 30 test subjects. Per row you find the id of the subject in "subject_[train|test].txt The recorded activity per row is found in "y_[train|test].txt" encoded as a number per row. This number can be translated to a describtive activity with the file "../activity_labels.txt"
• "y_[train|test].txt" - Contains the activities (as numeric) per row in "X_[train|test].txt" Can be translated in descriptive activity using the file "../activity_labels.txt"
• "subject_[train|test].txt" - Contains the subject ID per row for observations in "X_[train|test].txt"

More information on how the process of tidying data can be found in "CodeBook.md"