This is my coursework for Getting and Cleaning Data...
The dataset is available here. A full description of this data can be found here.
The features (561 of them) are unlabeled and can be found in the x_test.txt. The activity labels are in the y_test.txt file. The test subjects are in the subject_test.txt file.
The same holds for the training set.
- The dataset must be downloaded and extracted
- the UCI HAR Dataset must be availble in a folder called
UCI_HAR_Dataset
The script run_analysis.R which will merge the test and training sets together to create a tidy dataset in tidy.txt
The CodeBook.md file explains the transformations performed and the resulting data and variables.
.gitignore will prevent adding the original dataset UCI_HAR_DATASET and the tidy.txt to the repository to prevent the user from going over data limits on github.