##Purpose of this script is to do the following:

The goal is to prepare tidy data that can be used for later analysis.

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.

Make sure the Samsung data is in you working directory.

Then source the run.analysis.R

You should have 3 files writen to your working directory 1- tidydata.csv - a csv of the data that has standard deviation and mean values 2- tidydata.txt - a text version of the csv 3- column_name_translation.csv - a csv file of the origional names to the translation names

You should only have one dataframe left in r - called finaldata. This is a dataframe of the tidydata dataset.