Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings

pitono/GettingCleaningData

Open more actions menu

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
2 Commits
 
 
 
 

Repository files navigation

The script run_analysis.R will do 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 activity names.
  5. Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

To run the script:

  1. Put the script under "UCI HAR Dataset"
  2. Run from command line with Rscript run_analysis.R
  3. Output file will be available as "tidy_data.txt"

About

Coursera class on Getting and Cleaning Data

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

Morty Proxy This is a proxified and sanitized view of the page, visit original site.