Coursera Data Science Specification
Shi Yan
Repo for the submission of the course project for the Johns Hopkins Getting and Cleaning Data course.
The purpose of this project is to demonstrate ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. A full description of the data used in this project can be found at The UCI Machine Learning Repository
The source data for this project can be found here.
Be sure to download and zip the file to same path as your work path of R
A script called run_analysis.R that does the following.
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- Merges the training and the test sets to create one data set.
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- Extracts only the measurements on the mean and standard deviation for each measurement.
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- Uses descriptive activity names to name the activities in the data set
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- Appropriately labels the data set with descriptive activity names.
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- Creates a second, independent tidy data set with the average of each variable for each activity and each subject.
You can find additional information about the variables, data and transformations in the CodeBook.MD file.