Assignment: Getting and Cleaning Data Course Project
The assignment focuses on the common tasks, challenges, and issues that a Data Science professional will face. Towards that end, the assignment involves downloading project files and analyzing them.
This repo contains the following:
- README.md (this file)
- README.txt (the README file that was supplied as part of the assignment. Informative read).
- features.txt (the list of the 561 features that resulted from processing of raw accelerometer and gyrometer data)
- features_info.txt (detailed information about the features and the processing of the accelerometer and gyrometer signals)
- activity_labels.txt (description of the activities)
- run_analysis.R (R program to get and clean data)
- RPubs - Publish Document for run_analysis.htm (Documentation of the run)
- Activity Subject Mean And Std Dev.txt (Tidy/Clean dataset that containes combined train and test data)
- Average_Variable_By_Activity_Subject.txt (Summarized dataset that contains average values by activity and subject)
- Codebook (Recipe for getting, cleaning the data)
The codebook contains a list of 14 steps to accomplish the goals of the assignment and have been implemented as a R program that has been tested and executed.