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Title: GitHub - SirAlf/DataCleanCourseProject: Coursera Getting and Cleaning Data Course Project · GitHub

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X Title: GitHub - SirAlf/DataCleanCourseProject: Coursera Getting and Cleaning Data Course Project

Description: Coursera Getting and Cleaning Data Course Project. Contribute to SirAlf/DataCleanCourseProject development by creating an account on GitHub.

Open Graph Description: Coursera Getting and Cleaning Data Course Project. Contribute to SirAlf/DataCleanCourseProject development by creating an account on GitHub.

X Description: Coursera Getting and Cleaning Data Course Project. Contribute to SirAlf/DataCleanCourseProject development by creating an account on GitHub.

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CodeBook for Final_TidyData.mdhttps://github.com/SirAlf/DataCleanCourseProject/blob/master/CodeBook%20for%20Final_TidyData.md
CodeBook for Final_TidyData.mdhttps://github.com/SirAlf/DataCleanCourseProject/blob/master/CodeBook%20for%20Final_TidyData.md
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READMEhttps://github.com/SirAlf/DataCleanCourseProject
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https://github.com/SirAlf/DataCleanCourseProject#readme-file-explanation-of-r-script-for-transforming-raw-data-to-required-tidy-data
https://github.com/SirAlf/DataCleanCourseProject#preliminary-step-load-needed-packages-dplyr-and-stringr
https://github.com/SirAlf/DataCleanCourseProject#step-1-download-zipped-folder-from-website-then-extract-unzipped-folder-to-r-working-directory
https://github.com/SirAlf/DataCleanCourseProject#contents-of-downloadedextracted-folder-uci-har-dataset
https://github.com/SirAlf/DataCleanCourseProject#step-2-read-then-column-bind-each-of-subject_testsubject_train-and-y_testy_train-dataframes-to-create-subjecty_test-and-subjecty_train-dataframes
https://github.com/SirAlf/DataCleanCourseProject#step-3--read-x_test--read-x_train-dataframes-then-attach-column-names-to-each-of-x_test-and-x_train-dataframes-from-the-feature-names-provided-in-the-featurestxt-file
https://github.com/SirAlf/DataCleanCourseProject#step-4--column-bind-x_test-data-frame-with-subjecty_test-data-frame--repeat-by-column-bind-ing-x_train-dataframe-with-subjecty_train-data-frame
https://github.com/SirAlf/DataCleanCourseProject#step-5--row-bind-the-test_data-and-train_data-dataframes-into-a-merged_dataset
https://github.com/SirAlf/DataCleanCourseProject#step-6--assemble-activity_labels-data-frame-matching-activityid-with-activity-name
https://github.com/SirAlf/DataCleanCourseProject#step-7--add-column-of-activity-name-activity-to-merged_dataset-by-merging-it-with-activity_labels-data-frame-from-step-6
https://github.com/SirAlf/DataCleanCourseProject#step-8--extract-from-merged_dataset-the-columns-containing-mean-and-std-deviation-variables-of-the-measurement-signals
https://github.com/SirAlf/DataCleanCourseProject#step-9-rename-column-names-of-extracted_dataset-into-more-descriptive-labels-following-the-conventions-of-naming-column-names-of-tidy-data
https://github.com/SirAlf/DataCleanCourseProject#step-10--create-second-independent-initially-named-prefinal_tidydata-tidy-data-set-with-the-average-of-each-variable-for-each-activity-and-each-subject-dplyr-package-used-----finalize-prefinal_tidydata-into-final_tidydata
https://github.com/SirAlf/DataCleanCourseProject#step-11-save-final_tidydata-data-set-as-txt-file-in-working-directory
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