DS3_Course_Project : Project repository for the Coursera Data Science Specialization Course - Getting and Cleaning Data (DS3)
As required by the assigment, this R script does the following on the original dataset:
- 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.
Please see comments in the R script for additional information on the way this processing is achieved.
Please note that package reshape2 should be installed before running this script use command: install.packages("reshape2")
This file presents the input data, cleaning process and the output tidy data set.