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Getting and Cleaning Data Course Project

This file describes how run_analysis.R script works.

  • First, unzip the data from https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip.
  • Make sure the folder "UCI HAR Dataset" and the run_analysis.R script are both in the current working directory.
  • Second, use source("run_analysis.R") command in RStudio.
  • Third, you will find two output files are generated in the current working directory:
    • merged_data.txt (7.9 Mb): it contains a data frame called cleanedData with 10299*68 dimension.
    • cleanData_with_mean.txt (220 Kb): it contains a data frame called result with 180*68 dimension.
  • Finally, use data <- read.table("cleanData_with_mean.txt") command in RStudio to read the file. Since we are required to get the average of each variable for each activity and each subject, and there are 6 activities in total and 30 subjects in total, we have 180 rows with all combinations for each of the 66 features.

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Solutions in R for the Coursera Getting and Cleaning Data Course

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