Getting and Cleaning data Coursera Course Week 4 Assignment Peer-graded Assignment: Getting and Cleaning Data Course Project This repository is a Daniel Theng's submission for Getting and Cleaning Data course project. It has the instructions on how to run analysis on Human Activity recognition dataset.
Dataset Human Activity Recognition Using Smartphones
Files CodeBook.md a code book that describes the variables, the data, and any transformations or work that I performed to clean up the data
run_analysis.R performs the data preparation and then followed by the 5 steps required as described in the course project’s definition: Merges the training and the test sets to create one data set. Extracts only the measurements on the mean and standard deviation for each measurement. Uses descriptive activity names to name the activities in the data set Appropriately labels the data set with descriptive variable names. From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.
FinalData.txt is the exported final data after going through all the sequences described above.