nickbiso / Coursera-Getting-and-Cleaning-Data-Project

This is my course project for coursera's getting and cleaning data course

Coursera's Getting and Cleaning Data Project

Instructions:

• Unzip source file from: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
• Save 'run_analysis.R' on the same folder
• Run 'run_analysis.R' in R. It will output two text files namely:
  • 'TidyData.txt': which contain a Data Frame of 10299 observations and 68 variables.
  • 'AverageData.txt': which contain a Data Frame of 180 observations and 68 variables
• See CodeBook.md for more details

Explanation of the files:

• 'features_info.txt': Shows information about the variables used on the feature vector.
• 'features.txt': List of all features.
• 'activity_labels.txt': Links the class labels with their activity name.
• 'train/X_train.txt': Training set.
• 'train/y_train.txt': Training labels.
• 'test/X_test.txt': Test set.
• 'test/y_test.txt': Test labels.