This repository hosts R script, code-book & output of the script for Course Project of Data Science's Getting And Cleaning Data module.

The dataset being used is: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

#Script Files

run_analysis.R - This R script file does the following:

• Reads Subjects, Test & Train Data into R from below files:

  • x_test <- X_test.txt
  • y_test <- Y_text.txt
  • x_train <- X_train.txt
  • y_train <- Y_train.txt
  • subject_test <- subject_test.txt
  • subject_train <- subject_train.txt

• Reads Fearures & activity labels details into R

  • features <- features.txt
  • activity_labels <- activity_labels.txt

• Assigns descriptive Column headers to test & train data loaded into R using features data.

• Extracts data for columns related to only required mesaurements - mean and std in separate data frames.

  x_test_mean_std & x_train_mean_std

• Merges Subjects, Test & Train data into one data frame called merged.

• Labels Subject & Activity columns of merged data frame as SubjectID and ActivityID respectively.

• Calculates Average for each variable for each activity & subject and stores into avg_data data frame.

• Replace Activity IDs in avg_data with activity labels loaded into R.

• Writes avg_data into a text file called avg.txt.

#Running the script

• Change current directory to directory where run_analysis.R script exists.
• Download the data set. The files should be stored to "data/UCI HAR Dataset" difrectory under your working directory (directory where .R script exists).
• Run Rscript run_analysis.R.
• The tidy dataset should get created in the current directory as avg.txt.