The purpose of this project is to collect, work with, and clean a data set.
#Transformation of the data The raw data was transformed in the following way:
- The feature vector X, the subject vector and the activity vector Y for the training and test sets are loaded
- The training and test vectors are merged
- The subjects, the activities and their related feature vectors are merged into a single data table
- The featur vector columns are renamed
- The columns are filtered based on their name. They are kept only if they contain mean() or std()
- The values of the activities are replaced by their description
- The columns are renamed to be more explicit
- A smaller dataset is created by aggregating the data by subjet and activity. Each couple subjet, activity has a single feature vector
- The result table is exported in the export.txt file