Skip to content

Latest commit

 

History

History
19 lines (12 loc) · 1.06 KB

README.md

File metadata and controls

19 lines (12 loc) · 1.06 KB
Raw

Getting and Cleaning Data Project

The purpose of this project is to collect, work with, and prepare clean a data set. The goal is to prepare tidy data that can be used for later analysis. Steps are stated below -

  1. Merges the training and the test sets to create one data set.
  2. Extracts only the measurements on the mean and standard deviation for each measurement.
  3. Uses descriptive activity names to name the activities in the data set
  4. Appropriately labels the data set with descriptive variable names.
  5. 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.

Information regarding the all the files in this repo -

UCI HAR Dataset -> Folder contains the raw data which are goin to use to in this project
    
Tidydata.txt ->	This is a text file contais the tidy data set after cleaning up the raw data.

CodeBook.md ->	 Companion handbook which describes the variables and data, used in this project 

run_analysis.R -> R script to process and prepare the tidy data set.