Coursera Dec. 2016 Specialization in Data Sciences Getting and Cleaning Data Course Project
On this repository: R code and https://github.com/ZiegenSauger/Getting-and-cleaning-data-Course-Project/wikidocumentation files for the Specialization in Data Science course "Getting and Cleaning Data" peer reviewed project.
The dataset being used is: Human Activity Recognition Using Smartphones
The code takes works with all the data is present in the same folder, uncompressed and without names altered.
CodeBook.md describes the variables, the data, and any transformations or work that was performed to clean up the data.
run_analysis.R contains all the code to perform the analyses described in the 5 steps. They can be launched in RStudio by just importing the file.
The output of step 5 is called averages_data.txt, also uploaded for peer review of the course project.