##Overview Getting and Cleaning Data Johns Hopkins University Part of a 10-course series, the Data Science Specialization The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.
##Tasks
- 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.
- 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.
A full description is available at the site where the data was obtained:
The Machine Learning Repository UCI
#More Information For a full description of the steps for the project read the CodeBook.md
Fernando Alfaro