graebnerc

# 1. Basic commands-----------
# This is an addition:
2 + 4
4 - 9 # This is substraction
4/9
3*9
2**3

# This is 
#  a comment that spans

graebnerc

here::i_am("Acceleration_Plots.R")
library(here)
library(readxl)
library(readr)
library(tidyr)
library(dplyr)
library(scales)
library(ggplot2)
library(ggrepel)
library(icaeDesign)

graebnerc

Domestic material consumption per gross domestic product - Data package

This data package contains the data that powers the chart "Domestic material consumption per gross domestic product" on the Our World in Data website. It was downloaded on April 30, 2025.

Active Filters

A filtered subset of the full data was downloaded. The following filters were applied:

CSV Structure

graebnerc

# dyplyr is used for such cases:
library(dplyr)

# Create a small dataset with missing values:
students <- data.frame(
  name = c("Alice", "Bob", "Charlie", "Diana", "Eve"),
  age = c(20, NA, 22, 19, NA),
  grade = c(85, 92, NA, 78, 88),
  city = c("Boston", "Chicago", NA, "Denver", "Austin")
)

graebnerc

This is the code from which you can start working on the exercises of the session on "AI for coding".

graebnerc

The prompts used as examples in the slides from the lab on "AI for Coding".

Results were created by Claude Sonnet 3.7 in May 2025.

graebnerc

This contains a clean version of the scripts used during the lab. 

graebnerc

# Session Script on Advanced object types

# Digression
ff <- factor(c("F", "M", "M"), levels = c("F", "M", "D"))
attributes(ff) # See the class attribute 'factor'
typeof(ff) # It still remains an integer type...
class(ff) # but the class was changed

# Factors--------------------

graebnerc

The Netlify version can be found at: https://quarto-ex-solution.netlify.app/

graebnerc

---
title: "What a desaster!"
author: "Claudius"
date: '2025-05-02'
format: pdf
---

# Packages used
```{r}
library(tidyverse)