Course Datasets

The following datasets will be used in the course:

airsat

Real data on the satisfaction and experience of 10,000 customers of an airline Info

Classification task: predict satisfaction (4A)

# install.packages("readr")
airsat <- readr::read_csv("https://tinyurl.com/airsat-pm")

EMA

Real ecological momentary assessment (EMA) data on 80 undergraduate students in the Netherlands during the start of COVID (from Fried, Papanikolaou, & Epskamp, 2021) Info

Data splitting for multilevel and time series data (1C)

# install.packages("readr")
ema <- readr::read_csv("https://tinyurl.com/ema-data-pm", col_types = cols(id = "f"))

penguins

Real data on 344 penguins observed at Palmer Station, Antarctica Info

Regression task: predict body_mass_g (1D)

# install.packages("palmerpenguins")
library(palmerpenguins)
penguins

titanic

Real data on 1,309 passengers on the Titanic Info

Classification task: predict survived (1D, 2A, 2D)
Regression task: predict fare (2A, 2B, 2C)

# install.packages("readr")
titanic <- readr::read_csv("https://tinyurl.com/titanic-pm")

water

Real data on the potability and chemical properties of 2,011 water bodies Info

Classification task: predict Potability (3B, 3D)

# install.packages("readr")
water <- readr::read_csv("https://tinyurl.com/water-pm")