Notebooks are an environment where you can write and execute code fragments and create beautiful interactive tables displaying hierarchical data, which makes it a good place for prototyping and trying out ideas.

This talk offers a glimpse into the practical applications of Kotlin Notebook for data analytics and is suitable for developers of all levels.

I will show you how to use Kotlin Notebook for data analysis, demonstrating how it parses and visualizes complex data, briefly touching on the Dataframe and Kandy libraries, and showcasing how you can improve different aspects of software development.

Things you will learn in this lecture:
* How to configure and use Kotlin Notebook plugin in IntelliJ IDEA
* How to use the Kotlin Dataframe library for transforming the data
* How to create nice-looking graphs in notebooks with Kandy