The final project from the coursera course Getting and cleaning data; This project involves taking the given raw data, cleaning and tidying it, and then uploading the results to this repository
run_analysis.R - an R script 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 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.
tidy_data.txt - a copy of the tidy data set outputted by the above script
CODEBOOK.md - a markdown file that contains descriptions of each variable in the above tidy data set
The data set contains the following files
- test - a folder containing the data from the test portion of the data
- train - a foldering the training portion of the data
- READMe.txt - a text file containing a description and explanation of the data set
- features.txt - a text file containg a list of the variables measured in this data set
- features_info.txt - a test file containg an explanation of the variables in features.txt