Chapter 2: Exploratory Data Analysis in Comet
To successfully carry out a data science project, we must first try to understand the data and ask ourselves the right questions. Exploratory Data Analysis (EDA) is precisely this preliminary phase that allows you to extract important information from data, and understand which questions data can and cannot answer. Therefore, a data science project should always include the EDA phase.
There are several tools for carrying out EDA, some of which require specific programming skills, such as the many visual libraries provided by Python and JavaScript, as well as others that do not, such as Tableau and Weka.
As already seen in the previous chapter, Comet is an experimentation platform that can be used in almost all phases of a data science project life cycle. In this chapter, we will see how to use Comet to perform EDA. Comet provides different features we can use to perform EDA, including panels, reports, and metric logs. We will also...
