Getting and Cleaning Data Project

Peer assessment assignment for Coursera specialization course - Getting and cleaning data

Files in Repo:

run_analysis.R

Running this script will do the following:

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 activity names.
5. Creates a second, independent tidy data set with the average of each variable for each activity and each subject

[CodeBook.md] (https://github.com/drifap/datagetclean/blob/master/CodeBook.md)

This file describes the variables, the data, and any transformations or work that you performed to clean up the data. More information also available from here

Tidy dataset

To produce a tidy dataset please follow these steps:

1. Download the data from here into your working directory
2. Unzip the data folder
3. Run the run_analysis.R script from your working directory