This repository is for Getting and Cleaning Data course project. It has the instructions on how to run analysis on Human Activity recognition dataset.

Human Activity Recognition Using Smartphones

• CodeBook.md a code book that describes the variables, the data, and any transformations or work that I performed to clean up the data
• run_analysis.R performs the data preparation and then followed by the 5 steps required as described in the course project’s definition:
  • 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 activity and each subject.
• FinalData.txt is the exported final data after going through all the sequences described above.