getting-cleaning-data-project

Repository of codes and instructions for the "Getting and Cleaning Data" Coursera course project.

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1. How to run the analysis?

   • Ensure the R-script "run_analysis.R" and the data folder ("UCI HAR Dataset" - download and extracted from "https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip") are located in the same folder.
   • Set the current working directory to the folder where the R-script and the data reside
   • Run the code by "source" in the R-script

2. Output:

   • Upon successful execution, "tidyData.txt" is created under the current directory which contains an independent tidy data set with the average of each variable for each activity and each subject

3. The R-script "run_analysis.R" does the following steps in sequence:

   • Read-in test, training, activities, and subject data sets
   • Assign descriptive activity names to activities inside the test and train data sets
   • Label the data sets' headers with descriptive variable names and select the variables of mean and standard deviation ones
   • Extracts only the measurements on the mean and standard deviation for each measurement. Merge test and training sets into a joint data set along with their corresponding activities and subjects
   • From the joint data set, to create a second, independent tidy data set with the average of each variable for each activity and each subject. Then write to file "todyData.txt" in current directory