Mastering Azure Machine Learning - Second Edition

Chapter 5: Performing Data Analysis and Visualization

In the previous chapter, we learned how to bring our datasets to the cloud, define data stores in the Azure Machine Learning workspace to access them, and register datasets in the Azure Machine Learning dataset registry to have a good basis to start data preprocessing from. In this chapter, we will learn how to explore this raw data.

First, you will learn about techniques that can help you explore tabular and file datasets. We will also talk about how to handle missing values, how to cross-correlate features to understand statistical connections between them, and how to bring domain knowledge to this process to improve our understanding of the context and the quality of our data cleansing. ...