Dealing with Messy Data

Estimated time: 30 minutes

Overview

Questions

• What do I do if my data is the wrong class?
• What is an NA?
• What if my data has missing values?
• How do I change decimal points and rounding in numeric data?
• What if text strings have different cases?

Objectives

• learn to address common issues when cleaning data
• learn to address incorrect variable types. NA values, missing values, decimal points, lowercase vs uppercase in strings

FIXME

Key Points

• there are common issues a user can look for when working with new data
• making sure your data is clean before you start analysing will help make it easier