This repository is created for a purpose of resolving a task of course project from: Coursera Data Science Specialization - Getting and cleaning data.
Within repository there are three files:
- README.md - Short desctription of the project and guide how to run the process,
- CodeBook.md - Detailed description about the output of the process
- run_analysis.R - R script, which contains step by step cleaning data process
You should create one R script called run_analysis.R that does the following.
- Merges the training and the test sets to create one data set.
- Extracts only the measurements on the mean and standard deviation for each measurement.
- Uses descriptive activity names to name the activities in the data set
- Appropriately labels the data set with descriptive variable names.
- From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.
Follow simple path:
- Create a new directory which will be used for whole process,
- Download run_analysis.R and save it to previous created directory,
- Download and unzip dataset from https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip. to directory which you've created in first step.
- Run run_analysis.R script and wait for output file, which will be tidy_data.txt