| title | author | date | output |
|---|---|---|---|
ReadMe for Getting and Cleaning Data Course Project |
Joe Barter |
March 19, 2019 |
html_document |
The purpose of this project is to demonstrate my ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. There is a single script run_analysis.R that is used to process the data. The prep steps and further information are below.
Prior to running the run_analysis.R script do the following:
- Download the data from https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip.
- Extract the data to a local directory and set that directory as your Working Directory in RStudio.
- Open and source run_analysis.R in RStudio.
This script 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 group of activity and subject.
I interpreted Step 2 above as the mean and standard deviation measurements for the initial measurements as described in features_info.txt and not the derived measurements. I did leave commented code in to gather the derived mean and standard of deviation information if that is needed later.