This repository is an Aarush Pruthi submission for the Getting and Cleaning Data course project. It has the instructions on how to run analysis on the Human Activity Recognition dataset.
Human Activity Recognition Using Smartphones
CodeBook.md- A code book that describes the variables, the data, and any transformations or work that I performed to clean up the data.run_analysis.R- Performs the data preparation and then follows 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.
- 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.
FinalData.txt- The exported final data after going through all the sequences described above.