knitr::opts_chunk$set(echo = TRUE)
library(ggplot2)
library(haven)
#PISA_Stu_15 <- read_sav("~/Documents/PISA/CY6_MS_CMB_STU_QQQ.sav")
This is my third R markdown homework. The task of this homework is to begin to investigate “big data”.
I am curious in investigating the PISA dataset.
PISA is an international dataset compiled by the Organization of Economic Cooperation and Development (OECD).
Pisa data can be found here.
There are five main data files: the student-questionnaire data file (which also includes estimates of student performance and parent-questionnaire data), the school-questionnaire data file, the teacher-questionnaire data file, the cognitive item data file and a file with questionnaire timing data. These files include countries/economies/subregions that fully met adjudication criteria. An additional data file contains the data for countries with adjudication issues (see note on additional data files below for a list of countries with adjudication issues).
So much data to look at!