ac185040 / datasciencecoursera Goto Github PK

This R script performs following steps, as per project assignment instructions

• 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 activity names.
• Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

Script Execution

• The script checks for existence of the folder: D:/Data Science/getting&CleaningData/project.
• If it does not exists, then it creates the subdirectory: project under directory: D:/Data Science/getting&CleaningData.
• It then downloads and unzips all relevant datafiles
• In your R enviroment, set your working directory to be: setwd(“D:/Data Science/getting&CleaningData/project”)
• Load the script: source(‘run_analysis.R’)
• The end result will be a file called final_tidy_dataset.txt’ in the woirking directory.
• final_tidy_dataset.csv mirrors the .txt file in .csv format.
• whole_interm_descriptive_activity_names.csv is an intermediate file used during the analysis.
• final tidy dataset Each row in the final, clean dataset contains subject, activity, and measures for all required features (i.e., mean or standard deviation).