CourseProject

This is the course project for the Getting and Cleaning Data Coursera course.

It includes a R script, two tidy data sets, and a code book.

The data cleaning process includes the following steps:

1. Download the datasets provided in the course project instruction.
2. Read both the training and test datasets and the text data of features and activty labels.
3. Merge the training and test datasets.
4. Extracts only the measurements on the mean and standard deviation from the merged dataset.
5. Name the activities using descriptive names.
6. Label the data set with descriptive variable name.
7. Creates another tidy data set with the average of each variable for each activity and each subject.
8. Write the two processed datasets as 'traintestdata.txt' and 'averagedata.txt'.