The script provided in this repository produces a tidied dataset from the UCI HAR Dataset for data retrieved from the accelerometers of a Samsung Galaxy S smartphone.
In order to get started with the script, first download the project dataset:
https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
The zip file must be placed in the appropriate repository for the R script to function correctly. Once the file is in place, execute the "run_analysis.R" script to tidy the dataset.
This script takes the following steps to clean and tidy up the UCI dataset:
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The two separate data tables in the repository for the training and test data are merged into one larger dataset.
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For the purposes of this assignment, only the mean and standard deviation data is needed. These are extracted.
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The activities in the original dataset are coded by numbers. These are replaced with actual descriptions of the activities.
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The variable for the columns are replaced with more descriptive variable names.
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A new tidied dataset is created with these modifications, which is then written in table format to the "tidy.txt" file.
To re-import the tidied dataset found in tidy.txt, read the file as a table in R:
read.table("tidy.txt", header = TRUE)Happy Grading!