# UCI-HAR-Dataset
UCI-HAR Data Preprocessing
The raw dataset as well as project description and acknowledgements can be obtained from:
https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
The dataset contains data collected from the accelerometers from the Samsung Galaxy S smartphone. And the above python script contains lines of codes to transform the raw data into a final tidy dataset
The Python script does the following:
- 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.
