Esteban Gomez

This repo contains the results for the course project

The project shows the procedures to collect and produce a tidy data set that can be used for subsecuent analysis.

A full description for obtained data can be foud at:

http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

The source for this data project can be found at

https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

Create one R script called run_analysis.R that does the following:

1. Merges the training and the test sets to create one data set.
2. 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.
4. Appropriately labels the data set with descriptive activity names.
5. Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

1. Open the R script run_analysis.r using R.
2. Change the parameter of the setwd function. This function points to the working directory/folder (the folder where the R script file is saved).
3. Run the R script run_analysis.r. A file with the name tidyData.txt containing tidy data for this project will be saved in your working directory.

The code book called CodeBook.md has the related information about the variables.