README.md

In elyminator91/GettingAndCleaningData: Getting And Cleaning Data

Getting And Cleaning Data

This is the final project for JHU's course titled Getting and Cleaning Data on Coursera.

Analysis

1. Import Raw Data (using readr library)

• import raw data for subject, test and train
• rename columns with the corresponding labels from features.txt
• use cbind() and rbind() to create the full dataset

2. Filter Data (using dplyr library)

• use select() to select fields mean() and std() for each subject and activity
• use mutate() to lookup activity_id and return activity_name from activity_labels.txt

3. Create Tidy Data (using tidyr library)

• use group_by() and summarise_all() to create tidy data representing the means of readings for each subject for each activity

4. Export Tidy Data (using readr library)

• use write_delim() to export tidy data to ./data/tidy_data.txt

elyminator91/GettingAndCleaningData documentation built on May 8, 2019, 12:59 a.m.