Human Activity Recognition Using Smartphones Data Set - Tidy version
The following steps were applied on the raw data set:
1-Merged the training and the test sets to create one data set.
2-Extracted only the measurements on the mean and standard deviation for each measurement.
3-Used descriptive activity names to name the activities in the data set
4-Labeled the data set with descriptive variable names.
5-From the data set in step 4, created a second, independent tidy data set with the average of each variable for each activity and each subject.
The final data set can be found in the tidy.txt file.
A detailed description of the variables can be found in CodeBook.md. The basic naming convention is:
Mean{timeOrFreq}{measurement}{meanOrStd}{XYZ}
Where timeOrFreq is either Time or Frequency, indicating whether the measurement comes from the time or frequency domain, measurement is one of the original measurement features, meanOrStd is either Mean or StdDev, indicating whether the measurement was a mean or standard deviation variable, and XYZ is X, Y, or Z, indicating the axis along which the measurement was taken, or nothing, for magnitude measurements.