xyzdiego/Getting-and-Cleaning-Data-Course-Project

Getting and Cleaning Data Course Project

Getting-and-Cleaning-Data-Course-Project

Initial data for research

This script was write to analyze the data from UCI HAR DataSet. It's supposed that archive is extracted to the working directory.

The following files from the initial dataset is used:

1. features.txt: this file include the descriptions for features measured
2. train/X_train.txt: this file include the measurements of the features in train set (one row - 1 measurement of 561 features)
3. test/X_test.txt: this file include the measurements of the features in test set
4. train/subject_train.txt: this file include the subject for each measurement from the train set
5. test/subject_test.txt: this file include the subject for each measurement from the test set
6. train/y_train.txt: this file include the activity (from 1 to 6) for each measurement from the train set
7. test/y_test.txt: this file include the activity (from 1 to 6) for each measurement from the test set

Content Files

• CodeBook.md This is a file that describes the variables, the data, and any transformations or work that I performed to clean up the data
• run_analysis.r This is a script that 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.
  • 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.
• TidyData.txt This is the final file with the exported final data after going through all the sequences described above.