Here is my course project for the Coursera course "Getting and Cleaning data".
The data represents data collected from the accelerators from the Samsung Galaxy S smart phone. You can get the dataset here: Smart Phone Data Set. The experiments have been carried out with a group of 30 volunteers within an age bracket of 19-48 years. Each person performed six activities (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) wearing a smartphone (Samsung Galaxy S II) on the waist.
Read the readme.txt to learn about the data.
Prerequisites to run this script:
- UCI HAR Dataset must be extracted
- UCI HAR Dataset must be available in a directory called "UCI HAR Dataset"
run_analysis.R merges the test and training sets together and cleans the data. Finally a tidy data set is created
tidy_data.txt contains the aggregated data from the original data set.
The CodeBook.md file explains the transformations performed and the resulting data and variables.