This repository contains all elements required in order to solve the Coursera course project for "Getting and Cleaning Data".

The files in this repo:

• run_analysis.R The R code.
• CodeBook.txt Contains a description of the R code, the input and output data and the variables.
• features_info.txt The detailed description of the variables supplied with the original data.
• README.md This readme file.

The data in brief: The data used in this project are measurements of mobile phones accelerometers. Data were generated by 30 subjects performing 6 activities. The data itself are measurements and various transformations and calculations thereof in three dimensional space (X, Y, Z). The variables are described in detail in features_info.txt. The data were also separated into a training and a test set.

The operations performed by the R script run_analysis.R in brief:

• Read data into R, there are 8 files to read (listed above) all of which are supplied as part of the course.
• Assign labels (variable names) to data.
• Merge training and test data set
• Extract variables (columns) containing "std" or "mean" (ignoring case): 86 columns
• Convert activity codes to descriptive activity names and add to data
• Add subject information to data, now 88 columns
• Group data by activity and subject
• Summarize data by calculating means for all 86 variables that were extracted from the original data