README

This is the project assignment for data course from cousera : "Getting and cleaning data"

IN order to work please extract the two folders train and test in this same folder.

The attached R script (run_analysis.R) performs the following to clean up the data:

Merges the training and test sets to create one data set, namely train/X_train.txt with test/X_test.txt, the result of which is a 10299x561 data frame, as in the original description ("Number of Instances: 10299" and "Number of Attributes: 561"), train/subject_train.txt with test/subject_test.txt.
Reads features.txt and extracts only the measurements on the mean and standard deviation for each measurement.
Reads activity_labels.txt and applies descriptive activity names to name the activities in the data set:
```
  walking
  
  walkingupstairs
  
  walkingdownstairs
  
  sitting
  
  standing
  
  laying
```
The script also appropriately labels the data set with descriptive names: all feature names (attributes) and activity names are converted to lower case, underscores and brackets () are removed.
```
  tbodyacc-mean-x 
  
  tbodyacc-mean-y 
  
  tbodyacc-mean-z 
  
  tbodyacc-std-x 
  
  tbodyacc-std-y 
  
  tbodyacc-std-z 
  
  tgravityacc-mean-x 
  
  tgravityacc-mean-y
```
The script creates a 2nd, independent tidy data set with the average of each measurement for each activity and each subject. The result is saved as tidy_Data_set.txt.

karlosagudo / DataScienceProject3