Cleaning Data Course Project

The raw data

The raw data contains 561 unlabeled features along with subject and activity identifiers.

features.txt - Contains labels for the features.
X_train.txt & X_test.txt - Contains the accelerometer and gyrosope measures for the subjects and activities.
subject_train.txt & subject_test.txt - Contains a vector of numbers (1-30) that correspond to the test subject. y_train.txt & y_test.txt - Contains a vector of numbers (1-6) that correspond to the activity performed by each subject.

The run_analysis.R script

1. Reads the UCI HAR data tables into R.
2. Binds the data tables.
3. Gives the activity numbers (1-6) descriptive lables.
4. Changes the activity class from character to factor.
5. Excludes features that do not contain mean() or std().
6. Melts the data set into a long table.
7. Calculates the average measurement for each signal by subject and activity.
8. Writes a .txt file of the data table to the working directory.

To read the data table back into R, use the command read.table("./HAR_tidy.txt", header = TRUE).

Codebook for the tidy dataset

The repo contains a codebook titled CODEBOOK.md