Peer-graded Assignment: Getting and Cleaning Data Course Project
The objective of this README is to explain that the analysis file is clear and understandable. That is, the script run_analysis.R is understood by the user.
The run_analysis.R script is broken down in 8 different steps as the following:
- Step 1: Get data from
- Step 2: Extract data
- Step 3: Combining data
- Step 4: Selecting variables
- Step 5: Using descriptive activity names
- Step 6: Using descriptive variable names
- Step 7: Creating tidy data set
- Step 8: Exporting tidy data set
The purpose of the script is to complete the following requirements:
- Merge the training and the test sets to create one data set.
- Extract only the measurements on the mean and standard deviation for each measurement.
- Use descriptive activity names to name the activities in the data set
- Appropriately label the data set with descriptive variable names.
- From the data set in step 4, create a second, independent tidy data set with the average of each variable for each activity and each subject.
Data Source: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip Data Documentation: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphone