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This repository is created for the purposes of the assignment as part of Coursersa Course: Getting and Cleaning Data in R

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BLL Coursera course Getting and Cleaning Data in R

This repository is created for the purposes of the assignment as part of Coursersa Course: Getting and Cleaning Data in R

The repository contains the files :

run_analysis.R

This file contains the sourcecode used for cleaning the given dataset about wearable computing in the following process 1.download and extract the data 2.load information regarding activity and features 3.get the training and testing data and keep mean and std deviation 4.load activity and subject data for the above and merge both to form one dataset 5.make factors from activity and subject and create a clean dataset by calculating mean for each variable depending on subject and activity

final_data.txt

This is the file that represents the clean data after the above script is run on the downloaded datasets

Codebook.md

This file contains explanations about the various variables in the final created dataset

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This repository is created for the purposes of the assignment as part of Coursersa Course: Getting and Cleaning Data in R

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