Skip to content

eregen/Getting-and-Cleaning-Data-Week-4-Course-Project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Getting-and-Cleaning-Data-Week-4-Course-Project

The course project for Getting and Cleaning Data was to read in the "Human Activity Recognition Using Smartphones" data set, perform an analysis on the data set, and output a tidy data set.

The data used in this project was collected the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained:

http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

The data used in this project may be downloaded from the following link:

https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip

To run the run_analysis.R script, perform the following steps:

     1. Download the the zip file linked above
     2. Unzip the file 
     3. Move the following files to theh same directory as the script
              * features.txt
              * subject_train.txt
              * subject_test.txt
              * X_train.txt
              * X_test.txt
              * Y_train.txt
              * Y_test.txt

Once you've done that, run the script (run_analysis.R). If you don't have the dplyr package installed, download it from CRAN.

The script outputs tidyed data as a .txt file, "tidydata.txt". See the codebook for more details on the variables in the data and how the analysis script works.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages