This repo focuses on using data collected from accelerometers form the Samsung Galaxy S smartphone and analysis performed by Jorge L. Reyes-Ortiz, Davide Anguita, Alessandro Ghio, Luca Oneto at the Smartlab - Non Linear Complex Systems Laboratory in order to practice the theories of tiny data.

==================================================== The raw data can be found here: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

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This repo contains the following:

• Codebook.md - Description of variables, data, and transformations performed to clean up the data
• Tiny data set - the output of the run_analysis.R script which is a deliverable in the course project asssignment from the Getting and Cleaning Data course
• run_analysis.R - a script which reads the files in the UCI HAR Dataset and creates a tiny data set which combines the test and train data and only includes the measurements on mean and standard deviation.