Out of the many different visualization options, choosing the right visual depends on specific requirements. Similarly, selecting a visualization tool depends on both the target audience and the business requirement.

Data scientists or data engineers would prefer a more interactive console for quick and dirty analysis. The visuals they use are usually not intended for business users. They would like to dissect the data in every possible way to get more meaningful insights. So, they usually prefer a notebook-type interface that supports these activities. A notebook is an interactive computational environment where they can combine code chunks and plot data for explorations. There are notebooks such as IPython/Jupyter or DataBricks, to name a few available options.

Business users would prefer a more intuitive and informative visual that they can share with each other or use to generate reports. They expect to receive the end result through visuals. There are hundreds...