Getting and Cleaning Data - peer assessment project
The original data was transformed by
-
Merging the training and the test sets to create one data set.
-
Extracting only the measurements on the mean and standard deviation for each measurement.
-
Using descriptive activity names to name the activities in the data set
-
Appropriately labeling the data set with descriptive activity names.
-
Creating a second, independent tidy data set with the average of each variable for each activity and each subject.
About R script File with R code "run_analysis.R" perform 5 following steps (in accordance assigned task of course work)
About variables: x_train, y_train, x_test, y_test, subject_train and subject_test contain the data from the downloaded files. x_data, y_data and subject_data merge the previous datasets to further analysis. features contains the correct names for the x_data dataset, which are applied to the column names stored in