I may decide to pursue some of these questions further for particular story and file the rest away for another day. At this stage of the process, I'm not sure what my story will be just yet or what to include or exclude. Okay. Now, let's take a look at examples using data drawn from Tale of 100 Entrepreneurs Workbook and how it has been used in various ways. One example, is an article appearing here on the left, it's from the Wall Street Journal from 2009, by Scott Austin, and it's called, How Long Does It Take To Build A Technology Empire? As I read it, this article expands mostly through text along with now to us, familiar chart here. The main theme of the original base, which is that it takes longer than some may hope to make the 50 million dollars in revenues within the first five years or so. A link to the full article is in your resources and I encourage you to take a look. All right, now let's look at another example. On the right side, that has a differently layout, some custom filter controls for segmenting companies by industry, and a few added thematic elements. Now, in this example, the growth groups are broken out as hot rods, hares and tortoises as opposed to the rocket-ships, hot companies and slow burners of the original. Now, it seems like a bit of a mixed metaphor with cars and animals and all, but the idea of the tortoise and the hare is an interesting one to me. Now, in case you are not familiar with that story, the hare was a clear favorite to beat the tortoise in a competition, a road race really. But the slower tortoise, ends up coming in first due to the hare's overconfidence. The text on the right side of this visualization upper right, poses the question, will fast growth yield long term success? Or does slow and steady win the race? Now at some level, because I'm familiar with the story of the tortoise and the hare, I'm expecting the tortoise to win. I'm not sure how that will play out in terms of these different companies. We'll see. It's a great question for this situation but I don't actually see any answers jumping out at me here. It looks like I'm going to have to do some work for my own conclusion to that question. Now we've noted some potential limitations within this data set but it contains many potential stories as well. Let's try to find one.