Peer-graded Assignment for Week 4 of the coursera Getting and Cleaning Data Course
The data used in this course project represent data collected from the accelerometers from the Samsung Galaxy S smartphone.
More information about the data can be found through the data source website: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
run_analysis.R performs the data preparation and then followed by the 5 steps required as described in the course project’s definition:
- 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.
5.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. This dataset is found in the repo as FinalData.txt