Getting and cleaning data course project

Dataset

Data in project represent data collected from the accelerometters from Samsung Galaxy S smatphone. A full description is available at the site where the data was obtained:
http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

codeBook.md

Descrite the variables in the dataframe data create in run_analysis.R

run_analysis.R

Main process of script does

1. Merges the training and test set to create one data set store in data
2. Extracts only the measurements on the mean and standard deviation for each measurement store in meanStdData
3. Use descriptive activity names to name the activities in data set
4. Appropriate labels the data set with descriptive variable names
5. From the data set data create tidyData5 with te average of eact variables of eact activity and eact volunteer, write to 'tidyData5.txt'