Dealing with Messy Data

Overview

Teaching: 30 min
Exercises: 0 min

Questions

• What do I do when my data is messy?

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