Assignment Exploratory Data Analysis

Find a dataset and create an Exploratory Data Analysis.

You can use data from anywhere. For example, you may use Google dataset search, Kaggle datasets, a dataset from an R package, or something you collected yourself.

Requirements

• explain the dataset in 1 or 2 paragraphs
• use tidyverse
• clean, legible R code (preferably following something close to the Google style guide)
• table(s) with relevant summary statistics
• descriptive plots
• explain what you did and why (maximum 5 paragraphs total) if applicable, note findings such as missingness, outliers or unlikely values or group differences, etcetera

Format: stand-alone RStudio project folder

• Should have these components:
  • the dataset (csv, xlsx, sav, dat, json, or any other common format)
  • one .Rmd (R Markdown) file
  • a compiled .pdf or .html
  • we should be able to compile the .Rmd to the same .pdf or .html. That means no errors!

Example of how the folder could look before hand-in