The popularity of Infographics has not declined. Its been around for many centuries; in fact Wikipedia has made references to the Infographic created describing the sun’s rotation pattern done by Christopher Scheiner pegged at year 1626. The old infographics were all obviously created by hand. The last couple of years have made Infographics popular because of a combination of many trends – Data has exploded, people just don’t have time, computing power has exponentially increased, kids out of school can pick up a graphical package and create a story. Those are the driving factors for Infographics popularity. Social networks and sharing just add fuel to the popularity fire.
There is one thing though which hasn’t changed in a while. Almost all the data visualization elements created in the current versions of Infographics are a static slice of the data. This is where you start wishing – this is cool BUT I wish they could tell me more about THAT or THIS data element. At this point, you don’t have a choice and you need access to the raw data and an analytic reporting tool. We, at SecondPrism, didn’t want to lose the rich visual storytelling data visualizations of Infographics and neither did we want to lose the filtering and analytics. We came up with this concept of Dynamic Infographics.
Dimensions describe the objects involved in a data analytics effort. Dimensions correspond to people, items, or other objects. For example, customers, employees, items and companies are dimensions if we consider a business scenario. We decided to tackle some key attributes of these dimensions.
For example, for people, we have these prominent quantitative attributes :
If you consider behavioural attributes (called facts in the data world) for people, here are some :
For companies, similar attributes apply :
If you consider behavioural attributes for companies, these are some :
And if you move on to items and products, similar attributes apply :
The power of dynamically adjusting these key visual elements when the underlying data changes because you either applied filtering or an analytical model is what Secondprism does best.