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Code Book.md

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135 lines (84 loc) · 3.81 KB
title Code Book
author Alessandro
date 5/15/2020
output pdf_document 
knitr::opts_chunk$set(echo = TRUE)

Data Dictionary for data set "tidy_data"

The following data set variable list has been developed in conformity with the bullet point 4 of the assignment for the course "Getting and cleaning data"

Variables List

Phase

| This variable determines the partitioning of the experiment according two phases identified | with the keywords 'training' and 'test' | Type: character

  1. training
  2. test

Subject

| A number identifying the specific vounteer who take part to the experiment | Type: integer

  1. 1..30

Activity

| Human activity recognition, that are described according the following values: | Type: character

  1. WALKING
  2. WALKING_USPSTAIRS
  3. WALKING_DOWNSTAIRS
  4. SITTING
  5. STANDING
  6. LAYING

| Note: all the following variables have the same common characteristics: | Type: numeric with range bounded in [-1, 1]

tBodyAccmeanX

| mean of the body acceleration in the X direction measured in standard gravity units g

tBodyAccmeanY

| mean of the body acceleration in the Y direction measured in standard gravity units g

tBodyAccmeanZ

| mean of the body acceleration in the Z direction measured in standard gravity units g

tBodyAccstdX

| standard deviation of the body acceleration in the X direction measured in standard gravity units g

tBodyAccstdY

| standard deviation of the body acceleration in the Y direction measured in standard gravity units g

tBodyAccstdZ

| standard deviation of the body acceleration in the Z direction measured in standard gravity units g

tBodyAccMagmean

| mean of the body acceleration module magnitude measured in standard gravity units g

tBodyAccMagstd

| standard deviation of the body acceleration module magnitude measured in standard gravity units g

Data Dictionary for data set "sum_data"

The following data set variable list has been developed in conformity with the bullet point 5 of the assignment for the course "Getting and cleaning data".

It is derived from the above data set "tidy_data" summarizing all measures making the average of each acceleration variable for each activity and each subject.

Variables List

Activity

| Human activity recognition are described according the following values: | Type: character

  1. WALKING
  2. WALKING_USPSTAIRS
  3. WALKING_DOWNSTAIRS
  4. SITTING
  5. STANDING
  6. LAYING

Subject

| A number identifying the specific vounteer who take part to the experiment | Type: integer

  1. 1..30

| Note: all the following variables have the same common characteristics: | Type: numeric with range bounded in [-1, 1]

tBodyAccmeanX_avg

| average of the mean of the body acceleration in the X direction measured in standard gravity units g

tBodyAccmeanY_avg

| average of the mean of the body acceleration in the Y direction measured in standard gravity units g

tBodyAccmeanZ_avg

| average of the mean of the body acceleration in the Z direction measured in standard gravity units g

tBodyAccstdX_avg

| average of the standard deviation of the body acceleration in the X direction measured in standard gravity units g

tBodyAccstdY_avg

| average of the standard deviation of the body acceleration in the Y direction measured in standard gravity units g

tBodyAccstdZ_avg

| average of the standard deviation of the body acceleration in the Z direction measured in standard gravity units g

tBodyAccMagmean_avg

| average of the mean of the body acceleration module magnitude measured in standard gravity units g

tBodyAccMagstd_avg

| average of the standard deviation of the body acceleration module magnitude measured in standard gravity units g