Getting and Cleaning Data Course Project: A Peer-Graded Assignment

This repository contains the relevant files for the completion of the Coursera "Getting and Cleaning Data" project, week 4. In preparing the provided Human Activity Recognition Using Smartphones data to tidy for later analysis; and in addition to this README.md, the following files are presented:

---

1. run_analysis.R

• the R-coding following these stages after downloading and preparing the data, as set out in the main project instructions:

  • Merge the training and the test sets to create one data set.
  • Extracts only the measurements on the mean and standard deviation for each measurement.
  • Use descriptive activity names to name the activities in the data set
  • Appropriately label the data set with descriptive variable names.
  • From the data set in step 4, a second independent tidy data set with the average of each variable for each activity and each subject.

2. CodeBook.md

• includes descriptions of the tidied data indicating the variables and summaries calculated, along with units; and any other relevant information.

3. TidyDataSet.txt

• a second, independent tidy data set with the average of each variable for each activity and each subject.