Introduction

In this module we look at how to improve the quality of our data and how to explore our data by performing exploratory data analysis. We look at the importance of tidy data in machine learning and show how it impacts data quality. For example, missing values can skew our results. You will also learn the importance of exploring your data. Once we have the data tidy you will then perform exploratory data analysis on the data set. During this module you'll learn how to perform exploratory data analysis, categorize missing data strategies, and improve your data quality.