Final project from Coursera Data Science - Getting and Cleaning data
From Human Activity Recognition Using Smartphones Data Set, I created a small subsetting tidy dataset based on course's requirement
Data website:
http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
Here are the data for the project:
https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
In general, run_analysis.R does 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 tidy_dataset.txt with the average of each variable for each activity and each subject.
There are more description in run_analysis.R