Day 5

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 Slides Code Resource Cheatsheets/Guides
Day 5 Data Cleaning HTML,PDF R,Rmd Lab, Key, Key HTML Day 5 Cheatsheet
Homework 3 Rmd, HTML, Key, Key HTML

Homework

🚨 SURVEY: Day 5 check-in

📝 HOMEWORK 1: Dataquest

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

📝 HOMEWORK 3: Questions (Rmd), Questions (HTML)

Drop Boxes

Assignment Drop Boxes

Note: only people taking the course for credit must turn in the assignments. However, we will evaluate all submitted assignments in case others would like feedback on their work.