https://github.com/vedantwalia/getting-and-cleaning-data-course-project

https://github.com/vedantwalia/getting-and-cleaning-data-course-project

Last synced: about 2 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/vedantwalia/getting-and-cleaning-data-course-project
• Owner: vedantwalia
• Created: 2020-03-15T17:48:55.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-03-28T14:25:58.000Z (almost 5 years ago)
• Last Synced: 2024-01-29T07:28:25.172Z (11 months ago)
• Language: R
• Size: 136 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Getting-and-Cleaning-Data-Course-Project

R analysis on data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained:  http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones 

## How to run the script

* Download the data set available here: 

https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip 

* Unzip the dataset into a folder and set it as the working directory (use setwd)

* Run the script `run_analysis.R` on the working directory. You don't need to specify any parameter. The script will generate the output file named solution.txt.

## Output

The output has been calculated using the following procedure:

* Merges the training and the test sets to create one data set.

    * Read the features and activity data sets

    * Read all the files that contains the test data and bind all the datasets into one 

    * Read all the files that contains the train data and bind all the datasets into one 

    * Merge the train and test datasets using the activityId

* Extracts only the measurements on the mean and standard deviation for each measurement. 

* Based on the previous step results, create an independent tidy data set with the average of each variable for each activity and each subject. 

* The output file `solution.txt` is generated.