Getting And Cleaning Data Project - Coursera

How to run the script

To obtain a tidy dataset you have to run the script run_analysis.R from the root directory where the test and training dataset are placed. Example of directory structure:

• /root/run_analysis.R
• /root/test
• /root/train

All you have to do is source the script in R and run it.

What the script does

The run_analysis.R script basically loads the train and test data, it merges them and finally it gives a more easy-to-understand appearance to data. Below are listed the steps the script performs:

• Load and merge test-set data: load features variables, subjects and activities.
• Do the same for train-set data
• Merge train and test data
• Extract names of the measurements (features) and keep only features with name containing "mean" or "std".
• Extract activity names from file and assign those names to the corresponding activity id in dataset
• Extract features names from file and assign those names to every features colunm in dataset
• Compute the average value of all features for each subject and each activity
• Write the resulting dataset to file

Codebook

For the codebook see codebook.txt