Course project for the Coursera Johns Hopkins Getting and Cleaning Data course
This repository contains 4 files: a tidy data set created from the data from this site: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones cleaned with the following requirements:
- 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.
A codebook describing the variables, data, and all transformations used to clean the data
the R script that was used to clean the data
and this readme