Course Project of Coursera Getting and Cleaning Data
The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis
The dataset being used is: Human Activity Recognition Using Smartphones
The code takes for granted all the data is present in the same folder, un-compressed and without names altered.
CodeBook.md : a code book that describes the variables, the data, and any transformations or work performed to clean up the data.
run_analysis.R: script to perform analysis.
to get data, you can use the following code :
###############################################################################
# getting data
###############################################################################
mainDir <- getwd()
subDir <- "data"
dir.create(file.path(mainDir, subDir), showWarnings = FALSE)
url <- "http://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip"
zipfile <- "./data/getdata-projectfiles-UCI-HAR-Dataset.zip"
download.file(url,zipfile)
unzip(zipfile, exdir="./data")
setwd("./data/UCI HAR Dataset/")
averages_data.txt: is the output of the 5th step which is uploaded in the course project's form.