(Coursera) 03 Getting and Cleaning Data Course Project

All the variable are used camelCase notation for easy readability.

load all the libraries needed for running the script

All the data assumed to be under the "UCI HAR Dataset" folder The folder "UCI HAR Dataset" and this run_analysis script needs to be in same folder.

Loaded all the files which mentioned in the folder paths

Rename the variables in each test and train files before merging since the default values are V1, V2 etc and the activity and subject files are also having same coulmn names.

As a first step merged the train data with subject and activity data.

repeated the same with test data also.

 Merge the training and the test sets to create one data set as combined call cdata

Before extracting finding the column index for mean, standard deviation by grep then added the two column position which are subject and activity coulmns those are added manually so added +1 and +2 to factors file.

selected only the measurements on the mean and standard deviation for each measurement.

Finally selected only the mean and standard deviation columns along with activity and subject

 Extacted activity id as char and replaced with descriptive activity names

after replacing then attached to the data frame via cbind and dropped the activity id column from dataframe.

 drop the activity id column as it is not needed anymore

 Extract column names as vectors for maniuplating the names

 replace (, ), - from names

 Assigning back the column Names from char vector

 There must be a better way. like pattern matching to find and replace the variables in

a fine way

average of each variable for each activity and each subject and assigned to set2 data

write the output to a file to upload for project submission