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Getting and Cleaning Data - Course Project

This repository hosts the R code and documentation files for the Data Science's track course "Getting and Cleaning data", available in coursera.

The dataset being used is: Human Activity Recognition Using Smartphones

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The code takes for granted all the data is present in the same folder, un-compressed and without names altered.

CodeBook.md describes the variables, the data, and any transformations or work that was performed to clean up the data.

run_analysis.R contains all the code to perform the analyses described in the 5 steps. They can be launched in RStudio by just importing the file.

The output of the 5th step is called averages_data.txt, and uploaded in the course project's form.

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