In this report, we will focus on analyzing selected questions from the PISA 2009 dataset to gain insights into students' reading habits and preferences. The dataset consists of **81 variables** and **66,690 observations**, with each variable representing a different survey question and each observation representing an individual student's response.

Introduction The PISA 2009 dataset, which is part of the likert package in R, contains responses from students across different countries regarding their attitudes toward reading. The data is based on the Programme for International Student Assessment (PISA), a worldwide study by the OECD that evaluates educational systems by testing 15-year-old students in various subjects. In this report, we will focus on analyzing selected questions from the PISA 2009 dataset to gain insights into students’ reading habits and preferences. The dataset consists of 81 variables and 66,690 observations, with each variable representing a different survey question and each observation representing an individual student’s response. The dataset includes factors such as country codes, reading habits, reading frequency, and students’ attitudes toward books. In our analysis, we will leverage R’s likert package to visualize and summarize the data, providing a comprehensive understanding of students’ reading attitudes in the participating countries.

Last year, I traded my usual dress and heels for waders and a fishing rod—what an adventure that was! My first time fishing at Leirvogsá was not just an outdoor experience; it felt like I was stepping into a new world. Thanks to the patience of my instructor and a dash of beginner’s luck, I was completely hooked—not only on the fishing but also on the tranquility of nature and the thrill of the catch. Now, I’m excited to share my journey and delve into some fascinating data on Iceland’s rivers, starting with my beloved Leirvogsá, a place that made me fall in love with fishing..

Verkefnalýsing Verkefnið skiptist í tvo hluta, annars vegar úr tölfræði, efni um gagnlíkur sem þið finnið á Canvas. Hins vegar tengist verkefnið hagnýtri framsetningu gagna, sér í lagi grunnatriði í umbreytingumarkinu Markdown.