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. The project requires: 1) a tidy data set, 2) a link to a Github repository with utilized script for performing the analysis, and 3) a code book that describes the variables, the data, and any transformations or work that you performed to clean up the data called CodeBook.md.
Data was collected from accelerometers on Samsung Galaxy S smartphones. The full description on the data is available here: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
[1] Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine. International Workshop of Ambient Assisted Living (IWAAL 2012). Vitoria-Gasteiz, Spain. Dec 2012 [email protected]
The R package reshape2 is required to run this script.