ABSTRACT
There are various ways to implement a visualization tool, even in the form of an interactive dashboard. One of the great benefits of designing and implementing visualization tools as dashboards in Python is the fact that the created tool can be made publicly available in an easy way by deploying it on a server, hence making it accessible for a number of people all over the world. Including the important aspects from the field of visualization, visual analytics, interaction, algorithmics, and the many related disciplines of this interdisciplinary topic. Plotly as a way to create interactive diagrams, is based on Python code and can be learned easily, in particular, if the suitable visualization techniques are already introduced and described earlier as in this book. Python is considered a high-level programming language that can be applied in various application domains, with data science as one of the major ones in these days.
