this is a repositor for peer assigment from coursera.

the script saved here gets the data from the coursere Data Scientist corse and merge all together.

extract the raw datas from ./train/X_train.txt & ./test/X_test.txt binding train and test datas Geting all the features from features.txt giving apropiate names geting only mean and standard deviation features

Extracting activity data from ./train/y_train.txt & ./test/y_test.txt binding train and test datas Uses descriptive activity names to name the activities in the data set from activity_labels.txt

Appropriately labels the data set with descriptive activity names.

Creates a second, independent tidy data set with the average of each variable for each activity and each subject. Extracting subjects data from ./train/subject_train.txt & ./test/subject_test.txt

get all the possible conbinations beetwin subject and activity_names

Split data column by column, by subjects and activity geting the mean of each split the first time we need to creat the Results2 dataframe From here we repeat the prosses by ading one colum on Results2

P.D: srry for my english ^^