CodeBook.md

title	author	date	output
CodeBook.md	shubham	26/03/2020	html_document

The run_analysis.R script performs the 5 steps required as described in the course project’s definition.

1. Merges the training and the test sets to create one data set

* xDataSet (10299 rows, 561 columns) is created by merging xTrain and xTest using rbind() function

* yDataSet (10299 rows, 1 column) is created by merging yTrain and yTest using rbind() function

* subjectDataSet (10299 rows, 1 column) is created by merging subjectTrain and subjectTest using rbind() function

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

* xDataSet_mean_std (10299 rows, 66 columns) is created by subsetting xDataSet, selecting only columns: subject, code and the measurements on the mean and standard deviation (std) for each measurement

3. Uses descriptive activity names to name the activities in the data set

* Entire numbers in code column is replaced with corresponding activity taken from second column of the activities variable

4. Appropriately labels the data set with descriptive variable names

* code column renamed into activities

* All Acc in column’s name replaced by Acceleration

* All Gyro in column’s name replaced by AngularSpeed

* All Mag in column’s name replaced by Magnitude

* All start with character f in column’s name replaced by FrequencyDomain

* All start with character t in column’s name replaced by TimeDomain

* All GyroJerk in column’s name replaced by AngularAcceleration

* All ending with Freq replaced by Frequency

...

5. From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject

* Data2 (180 rows, 68 columns) is created by sumarizing TidyData taking the means of each variable for each activity and each subject, after groupped by subject and activity.

Export Data2 into tinyData.txt file.