JeffHCross/GettingAndCleaningCourseProject

The data contained in this repository is based on the Human Activity Recognition Using Smartphones Dataset, and developed for the Course Project from Week 4 of the Coursera course "Getting and Cleaning Data". The original data was provided by course instructors, with the instruction to make the dataset into a tidy dataset and perform some analysis.

• UCI_HAR_Dataset_tidy_averages.txt
• A text file resulting from the author's execution of this code, containing only the averages for each activity, per subject. (See Section 2 for viewing this data)
• run_analysis.R
• A script that will take the UCI HAR dataset and create a tidy dataset (see Section 3 for executing this code)
• README.md
• This Markdown file.
• Codebook.md
• A Markdown Codebook containing the Codebook for this project, including all the variables and summaries calculated, along with units, and any other relevant information.

To view the data as produced by the author:

1. Download the UCI_HAR_Dataset_tidy_averages.txt into the current R working directory.
2. Run the following code:

    my_data <- read.table(file="tidy_averages.txt", header=TRUE, row.names = NULL, check.names = FALSE)  
    View(my_data)

To use the run_analysis.R file to reproduce the author's dataset:

1. Download the source file: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
2. Extract the Zip file contents into a folder on your local drive. For example, C:\Users%USERPROFILE%\Documents\Data Science. This would result in the extracted UCI Dataset being located at C:\Users%USERPROFILE%\Documents\Data Science\UCI HAR Dataset.
   For sake of clarity, this folder will be referred to as %folder_path%, meaning the UCI dataset should be extracted to %folder_path%\UCI HAR Dataset.
3. Save run_analysis.R to %folder_path%, so that "UCI HAR Dataset" is a subfolder of the location of run_analysis.R.
4. In R run, setwd(%folder_path%).
5. In R, run source("run_analysis.R"). This will execute the script.
6. One file will be created as a result of execution, in the current working directory (%folder_path%):
   • UCI_HAR_Dataset_tidy_averages.txt - A second tidy version of the UCI HAR dataset, containing only the averages for each activity, per subject. For more information on the dataset, see the Codebook.
   • If outputting the non-averaged dataset is desired, the last line of code is commented out, which would write the larger dataset to a file (UCI_HAR_Dataset_tidy_dataset.txt)