Meet the human data
Welcome to the Dimensionality reduction techniques chapter.
In this chapter we will be using the human dataset to introduce Principal Components Analysis (PCA). The data originates from the United Nations Development Programme. See their data page for more information. For a nice overview see also the calculating the human development indices pdf.
Most of the variable names have been shortened and two new variables have been computed. See the meta file for the modified data here for descriptions.
Este ejercicio forma parte del curso
Helsinki Open Data Science
Instrucciones del ejercicio
- Read the
humandata into memory - Print out the (column) names of the data
- Look at the structure of the data
- Print out summaries of the variables in the data
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# read the human data
human <- read.table("http://s3.amazonaws.com/assets.datacamp.com/production/course_2218/datasets/human1.txt", sep =",", header = T)
# look at the (column) names of human
names(human)
# look at the structure of human
# print out summaries of the variables