Introduction to Data Cleaning
Explore the data cleaning stage in the Data Science Lifecycle. Understand why cleaning data is essential to avoid errors from incomplete or inconsistent data. Learn about handling missing values, duplicates, outliers, and converting data formats to prepare for effective analysis.
We'll cover the following...
We'll cover the following...
In this chapter, we will look at the third stage of the Data Science Lifecycle - Data Cleaning. But before we look at what steps are involved in Data Cleaning, a question arises; why do we need to clean data?
Why clean data?
The data that we ...