getting-cleaning-data-exericise

Exercise: from the course on coursera getting and cleaning data.

Theme : Data collected from the accelerometers from the Samsung Galaxy S smartphone
Goal : We want to create the tidy data set from the collected autogenerated data.

There are 5 steps are performed strating from downloading data to the creating tidy dataset. Such steps are performed using R script in the file run_analysis.R. Steps performed in the scripts are as below:

step 1: We are first of downloading required dataset. We are unzipping and storing them in a folder named 'data'

step 2: We would like to read the load the files(test & train) which we want to clean. After loading we would like to merge those respective files so we can clean them together.

step 3: We would load the merge table and would like to fetch the specific informative columns. Such columns would be like -mean(fBodyBodyGyroMag-mean()), -std(fBodyBodyGyroMag-std()). We would like to change the name to Camlecase and remove comas.

step 4: Extracting data for the selected column and store in the vector. Binding all the data together x_data, y_data, and s_data, and merge x, y(activity) and subject data. replace y(activity) column to it's name by refering activity label (loaded step 3)

step 5: Generate 'Tidy Dataset' that consists of the average (mean) of each variable for each subject and each activity. The result is shown in the file tidy_dataset.txt.