This repository is my attempt at the peer-graded assignment "Getting and Cleaning Data Course Project" from the John Hopkins Data Science Specialization on Coursera.
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README.md
: Describes the purpose and the contents of this repository -
run_analysis.R
: Generates a tidied up and summarized data set from the original UCI data set- generates
summary.txt
- generates
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CodeBook.txt
: This code book describes the data set generated byrun_analysis.R
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Download the data set and decompress it
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Merge the training and the test data.
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Rename the columns according to the
features.txt
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Filter only the columns regarding the mean and the standard deviation.
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Aggregate the mean of the features measurements over the activity and the performing subject.
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Transform the table using the activities as column names (variables).
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Rename the columns with descriptive names using the lowercase labels from
activity_labels.txt
with all characters except a-z stripped out. -
Write the summarized and tidied up data set to
summary.txt