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datacleaningcourseproject's Introduction

DataCleaningCourseProject

Following scripts are included:

  • run_analysis.R
    • This script works in 5 steps as required in the task.
      • Combining the both training and test datasets and creating one data.
      •   Extracting only columns with means and standard deviation. 
        
      •   Uses descriptive activity names to name the activities in the data set
        
      •   Appropriately labels the data set with descriptive activity names. 
        
      •   Creates a second, independent tidy data set with the average of each variable for each activity and each subject. 
        

Following files included:

  • run_analysis.R
  • codebook.md
  • README.md
  • tidy_data.txt (required output file)

Usage of the script

  • pre-requisits of running the script
    • The data should be stored in your working directory ./UCI HAR Dataset/ directory
  • source(run_analysis.R)

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