Jan Flowers Coursera JHU Getting and Cleaning Data: Class Project
The code in this repository serves as an example for collecting and manipulating large data into a tidy data set for further analysis.
Checks for required libraries and installs them if not found. Then downloades the data sets, unzips them, and performs the following manipulations:
- 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.