Skip to content

rledda/Getting-CleaningData

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Coursera - Getting and Cleaning Data - Course project

Repository for the submission of the course project for the Johns Hopkins "Getting and Cleaning Data" course.

##Overview The purpose of this project is to demonstrate the ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.

##Project Summary The script "run_analysis.R" that does the following:

  1. Merges the "training" and the "test" sets to create one data set.
  2. Extracts only the measurements on the mean and standard deviation for each measurement.
  3. Uses descriptive activity names to name the activities in the data set.
  4. Appropriately labels the data set with descriptive variable names.
  5. 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.

##Additional Information Additional information about the variables, data and transformations are in the CodeBook.MD file.

About

Coursera - Getting and Cleaning Data - Course project

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages