Summary
We just completed the journey of performing EDA in Comet!
Throughout this chapter, we described some general concepts regarding EDA, as well as the main EDA techniques, including visual and non-visual EDA. We also illustrated the importance of EDA in a data science project: EDA permits us to understand our data, correctly formulate the questions we want to solve, and discover hidden patterns.
In the third part of the chapter, we learned which features Comet provides to perform EDA and how we can use them through a practical example. We illustrated the concepts of logs, custom panels, and reports through a practical example.
Throughout this chapter, you learned how easy it is to use Comet to run EDA, as Comet provides very intuitive features that can be combined together to build fantastic reports for EDA.
Now that you have learned how to perform EDA in Comet, we can continue our journey of the discovery of Comet for data science.
In the next chapter, we...
