Searching for the right stock to invest in, the best area to shift to, choosing the right air conditioner, buying the right car, and even choosing the right pet food for your dog""we all want to know which brand is the best in our chosen category. Rankings, however, are never easy to find and only the right kind of charting can help you make a correct decision.
While going through a number of ranking systems covering a variety of consumer goods and financial matters, I came across a new and previously unknown variety of charts and tables that adequately and succinctly tells us exactly where to go to find the perfect bet. In a single, easy-to-comprehend table, all required parameters such as genre wise rankings are tabulated. The first word that came to my mind when I saw these charts is, pretty. They are not only extremely useful but they are a visual delight. This implies that the usage of these charts in any media will ensure easy attention and will convince a lot better. The charts can also be played around with to facilitate comprehension.
Most of the charts that I came across are based on an Adobe Flash Platform""the tables have extensive drilldown options and a lot of information can be included in within a mouse hover function. Also, clicking on a word or a number leads us directly to the homepages of the selected university where we can find more detailed information about our preferred courses. Most of these charting software websites provide us with extensive tutorials which help in and guide us into preparing the perfect data representation for our needs. On further investigation it can be found that the functionality of these charts is only complemented by the ease with which they can be created. Utilizing any one of the many charting software available, one can input data in a simple XML configuration, and these charts can be integrated with almost all scripting languages. Compatible with ASP, ASP.NET, PHP, JSP, ColdFusion, Ruby on Rails, Python or even simple HTML pages, most charting software work with all databases including MS SQL, Oracle, MySQL, PostgreSQL, CSV or even legacy data storage.
