Objectives

Upon completion of this session, you will be able to do the following:

  1. Develop strategies for addressing common raw data quality issues and note potential data wrangling pitfalls.
  2. Expand your data cleaning toolkit by exploring the tidyverse, a curated suite of packages for data science.

Lectures

Lecture recording links will be emailed directly to students.

Material

Day Module Lecture Activity Cheatsheets/Guides
Day 5 Data Cleaning HTML,PDF, Rmd Lab Rmd, Key, Key HTML Day 5 Cheatsheet

Homework

homework is optional.

📝 HOMEWORK 1: Questions (HTML)

📝 HOMEWORK 2: Questions (Rmd), Questions (HTML)

Library

RStudio cheatsheets

RStudio IDE cheatsheet (PDF)