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Activity-Recognition

This repository satisfies the project requirement for the "Getting and Cleaning Data" portion of the Coursera/John Hopkins Data Science specialization. It contains R scripts to create a tidy version of the Human Activity Recognition Using Smartphones Data Set provided by the UCI machine learning repository.

Prerequisites

This procedure does not include code to download the data. The data must be downloaded manually and extracted to a folder named "UCI HAR Dataset" within R's working directory.

Contents

run_analysis.R - the primary procedure to tidy the data.

CodeBook.md - description of the specific procedure applied and the resulting tidy data set.

README.md - this file.

Source

The data used in this analysis was collected by:

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

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