With the advent of the analytics age, one would find applications spring-up every month that lets you track, monitor, and analyze just about anything, from human habits to system behaviors. Such applications generally have a standard implementation pattern wherein they primarily collect, upload, process, and display data. Now, somebody trying to develop one such application would obviously face challenges, of different kinds, at each of these points depending upon the domain of applicability. However, the challenges in displaying the data, in a way that it is understandable to non-professionals, are the same for all of them. Oftentimes, we rely upon statistical charts and graphs to render such data. These days one would find a plenty of charting libraries that make this possible easily (and some of them without any cost), for example Visualize, MooCharts, ProtoChart etc. One such player in the world of data visualization is Google itself. Google Visualization is a set of JavaScript lib...