The purpose of this project is to demostrate ability in the getting and cleaning data.
The subject matter for this project is a dataset from UCI for Human Activity Recgonition Using Smartphones.
The dataset was provided by the course instructure with a link, however the dara set is also available at:
http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
The course instructures for this project include (from the course page)
- You should create one R script called run_analysis.R that 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 activity names.
- Creates a second, independent tidy data set with the average of each variable for each activity and each subject.
R Code to create the tidy data. Reads all the inputs, merges the test and training data, cleans up the variable names, and then creates a tidy data with the means for the subjects and activities
the dataset submitted to coursera
The larger all samples data set with subject Id and the activity labels.
Have a great week reviewing!