Data visualization deals with representing data in a visual form so as to enable people to understand the underlying patterns and trends. Geographical maps, the bar and line charts of the seventeenth century, are some examples of early data visualizations. Excel is perhaps a familiar data visualization tool that most of us have already used. All data analytics tools have been equipped with sophisticated, interactive data visualization dashboards. However, the recent surge in big data, streaming, and real-time analytics has been pushing the boundaries of these tools and they seem to be bursting at the seams. The idea is to make the visualizations look simple, accurate, and relevant while hiding away all the complexity. As per the business needs, any visualization solution should ideally have the following characteristics:
Interactivity
Reproducibility
Control over the details
Apart from these, if the solution allows users to collaborate over the visuals or reports and share...