Getting and Cleaning Data Project
This is a repository for project of Getting and Cleaning Data Coursera course. Johns Hopkins University.
(find all project-related materials in the UCI HAR Dataset directory, however, copies of the important files have been put into this main directory to fulfill the submission requirement)
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Unzip the original source (https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip) into a folder on your computer, sample: C:\Users\UserName\Documents\GettingAndCleaningData
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Run run_analysis.R into C:\Users\UserName\Documents\GettingAndCleaningData\UCI HAR Dataset\
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In RStudio: setwd("C:\\Users\\UserName\\Documents\\R\\UCI HAR Dataset\\"), followed by: source("run_analysis.R")
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Use data <- read.table("TidyDataSetSource.txt") to read the data. It is 180x68 because there are 30 subjects and 6 activities, thus "for each activity and each subject" means 30 * 6 = 180 rows. Note that the provided R script has no assumptions on numbers of records, only on locations of files.