Peer Assessment 1 - Getting and Cleaning Data
( https://www.coursera.org/course/getdata ) -
Coursera Data Science Specialization Track
One of the most exciting areas in all of data science right now is wearable computing - see for example this article . Companies like Fitbit, Nike, and Jawbone Up are racing to develop the most advanced algorithms to attract new users. The data linked to from the course website represent data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained:
http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
Here [is] the data for the project:
https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
Summary verbatim from [course assignment](from https://class.coursera.org/getdata-011/human_grading/view/courses/973498/assessments/3/)
- The script to generate the tidy data is run_analysis.R
- The resulting tidy data set is tidy_final.txt
- The codebook describing the resulting data set is CodeBook.md which can be regenerated with knitr on CodeBook.Rmd.