- README.md: This file.
- run_analysis.R: The R script used to process the project data. This script assumes that the zip file downloaded is extracted into the same directory as the R script.
- CodeBook.md: A file describing the input data, the process followed to clean the data, and the output data.
- tidyData.txt: The final output of Step 5, also uploaded to the Coursera project site.
The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.
The data used for this project can be found here: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
A full description of the data can be found at the site where the data was obtained: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
The specific tasks for the project are:
You should create one R script called run_analysis.R that does the following:
- 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.