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Getting and Cleaning Data - Peer Course Project

This repository contains run_analysis.R script that reads the data collected from the accelerometers from the Samsung Galaxy S smartphone.

The actual source of the data is located at:
http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones 

Here are the data for the project: 
https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip 

Steps

  • In order to run the script unzip the data into a directory. Make sure the run_analysis.R script is copied to the root directory (i.e. sibling of the "UCI HAR Dataset" directory). Please make sure the working directory is set to the root directory as well in R/RStudio

  • Source the script with source("run_analysis.R")

  • The script will generate two files namely "merged.txt" and "tidy.txt" in the current working directory:

    • merged.txt contains the merged and cleaned data with 10299 observations and 68 variables
    • tidy.txt contains the average of the variables by subject and activity. It summaries with 180 observations and 68 variables.
  • In order to view the tidy data set use: tidy <- read.table("tidy.txt") command

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