Introduction

Data visualization is the art and science of telling captivating stories with data. Today's developers and data scientists, irrespective of their operational domain, agree that communicating insights effectively using data visualization is very important.

Data scientists are always looking for better ways to communicate their findings through captivating visualizations. Depending on their domain, the type of visualization varies, and often, this means employing specific libraries and tools that will best suit the visualization needs. Thus, developers and data scientists are looking for a comprehensive resource containing quick, actionable information on this topic. The resources for learning interactive data visualization are scarce. Moreover, the available materials either deal with tools other than Python (for example, Tableau) or focus on a single Python library for visualization. This book is designed to be accessible for anyone who is well-versed in Python...