The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.
R script to do the following.
- Merges the training and the test sets to create one data set.
- Extracts only the measurements on the mean and standard deviation for each measurement.
- Uses descriptive activity names to name the activities in the data set.
- Appropriately labels the data set with descriptive variable names.
- 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.
Final output text file, which contains tidy data set with the average of each variable for each activity and each subject.
The file describes the variables, the data, and any transformations or work that you performed to clean up the data.
- Git clone the repository.
- Download the compressed data to the repository root directory from https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
- Unzip the data.
- Open
run_analysis.R, and run it.