This repository corresponds to a Maria Luiza submission as final course project.
Human Activity Recognition Using Smartphones
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CodeBook.md a code book that describes the variables, the data, and any transformations or work that I performed to clean up the data
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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.
- 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.
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Data_final.txt is the final data exported into file text. This file corresponds to an average of each variable for each activity.