jfhrecoba/getting-and-cleaning-data

Course Project

#Getting-and-Cleaning-Data Course Project

1.Merges the training and the test sets to create one data set

• training_set：Traning set.
• test_set：Test set.
• dataset：Merge Traning set and test set.

2.Extracts only the measurements on the mean and standard deviation for each measurement

• features：List of all features.
• selectnames：The features contain mean and stadard deeviation.
• dataset：Extracts only the measurements on the mean and standard deviation for each measurement.

3.Uses descriptive activity names to name the activities in the data set

• traning_labels：Training labels.
• test_labels：Test labels.
• labels：Merge training labels and test labels.
• dataset：Name activities to the data set

4.Appropriately labels the data set with descriptive variable names

• activity_labels：Links the class labels with their activity name.
• subject_train：The subjects who performed the activity for each window sample in training set. Range:1to30.
• subjiect_test：The subjects who performed the activity for each window sample in test set. Range:1to30.
• subject：Merge subject_train and subjiect_test.
• dataset：Labels the data set with descriptive variable names.

5.From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subjet

• sp：Grouped by each activity and each subjet.
• dataset2：creates a independent tidy data set with the average of each variable for each activity and each subjet