ermi-bro / cleaning_data

Cleaning data assignment repository

This file describes step by step how run_analysis.R script works. I have organized the script into three main parts as explained below:

1) Data preparation

- Downloaded the assignment data files from specified website into local working directory.

- Open the training dataset along with training label file in R

- Explore and check if the datasets are properly loaded into R

- Compile training dataset and training label file together using cbind command

- Open the test dataset along with test label file in R

- Explore and check if the datasets are properly loaded into R

- Compile test dataset and test label file together using cbind command

2) Merge training and test datasets

- There two variables with same variable names (“V1”) in training and test data files that comes from label data, we should rename variable that comes from label data as “activity”.

- Merge training and test datasets using rbind command named the merged dataset as “fullData”

- Check if the two datasets are properly merged using dim() command

3) Extracts only the measurements on the mean and standard deviation for each measurement

- Create a numeric vector (varNum) that will be used to extract means and standard deviation for each measurements

- Extract variables from “fullData” using for loop and varNum vector.

- Name extract dataset as “meanSdData”

4) Uses descriptive activity names to name the activities in the data set