##Assignment: Getting and Cleaning Data Course Project

The repository contains a R file with a set of functions realized to clean and tide-up a data set containing measures of sensors to categorize/recognize user activities based on the measures of the accelerometers/gyroscopes of smart phones.

The R file contains the following functions:

downloadData(): looks at the presence of the dataset in the working directory. If not present the data set is downloaded and unzipped automatically.

tidyDatasetCreator():

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

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

• Uses descriptive activity names to name the activities in the data set

• Appropriately labels the data set with descriptive variable names.

computeMeanForSubjectAndAcivity(): creates a second, independent tidy data set (by calling and using th results of tidyDatasetCreator() function) with the average of each variable for each activity and each subject.

NB: to produce the step 5 of the assignment (i.e., 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 subject.) one should just call the function computeMeanForSubjectAndAcivity()