Assignment Exploratory Data Analysis

Graded assignment

Find a dataset and create and form, build and perform 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 and exploratory 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, etc.

Format: Submission of an 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!
  • the names of all group members. Student numbers are not needed.

HINT: If you create an RStudio Project - all files are root dependent on the .Rproj file. This avoids file path errors that are local machine dependent.

Grading

Make sure to check the rubric that we are going to use for grading the assignments.

• The different aspects get the following weights:
  • Explanation of the data set (15%)
  • Correctness of code and output (30%)
  • Interpretation/explanation of approach and results (30%)
  • Clarity of code and reproducibility (15%)
  • Layout and overall appearance (10%)