###Getting and Cleaning Data Course Project
- First, unzip the dataset from link and rename the folder with "data".
- "data" folder and run_analysis.R script should be in the same directory.
- Seconf, use source("run_analysis.R") command in RStudio.
- Third,You will find two output files generated in the current working directory namely: merged_labelled.txt, which contains a dataframe of dimension 10299x68 and tidy_dataset_with_the_averages_by_act_sbjct.txt, which contains the resulting tidy dataframe of dimension 180x68.
- Finally, use the read.table("tidy_dataset_with_the_averages_by_act_sbjct.txt") RStudio command to read the file. Since there are 6 activities and 30 subjects and we need to have averages for each subject and each activity combination, thus there are a total of 180 rows for each combination of subject and activity.