Repository for the 3rd class of the Data Science Specialization
The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set.
To start working, the first thing we need to do is download the source files from the provided url, then unzip the next files to the working directory: subject_train.txt X_train.txt y_train.txt subject_test.txt X_test.txt y_test.txt features.txt and activity_labels.txt
After donwload and unzip the files we must do this steps:
- 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.
- Creates a second, independent tidy data set with the average of each variable for each activity and each subject.
All this steps were made in the run_analysis.R file, follow each one to complete the project purpose.