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Enter your introduction here. I need help to write this intro paragraph, please provide feedback!-- Douglas Adams: "Humans like facts. Humans live in facts and grow in facts and change in facts and die in facts and the best humans can do is give other humans their facts." -- Neil deGrasse Tyson: "We are part of this universe; we are in this universe, but perhaps more important than both of those facts - we can understand this universe." -- Carl Sagan: "Understanding is not the same as agreement!" (William O'Connor) It’s no secret that humans obsess over data because we love understanding the world around us. Numbers make sense; they always add up to the same total, no matter how many times you perform the operation. A set of data can be easily manipulated to fit into a mathematical expression or statistical model. Numbers are simple, but our obsession with numbers has turned into an obsession with facts. When we see numbers in an article, we immediately look for headline numbers; when it comes to international news, Americans are guilty of this most of all. Unfortunately the fascination with facts is undermining our ability to solve complex problems in today’s world because facts are messy and statistics are misleading. Fact-obsessed societies have nearly destroyed their environments through overpopulation and inefficient use of resources, for example. And people in rich nations suffer from a lack of perspective when it comes to the problems faced by nations in developing nations, such as hunger and poverty. This is why we need to look at the raw data behind the numbers and be willing to analyze information in a completely new way. The result of this phenomenon has been spikey graphs, rolling ball charts and other graphical representations of data that skew our perception of the world around us. These graphs can be used to highlight correlations between variables such as food production and population growth, but they often present information in an exaggerated manner. For example, a graph of the United States' annual gas consumption from 1949 to 2009 shows a steady increase. But looking at this data in a different way paints a much more interesting picture. Since 1973, U.S. consumption of petroleum products has remained completely flat; instead, consumption of natural gas has risen steadily over the same period. The core feature of my project is based on the idea that users can make use of an interactive visualization to find trends within the data and also investigate connections between related variables (by hovering over points on the graph). This project is very similar to the XKCD graphing tool. However, I game it a more advanced interface with scroll bars for the x and y axes, allowing users to view data in smaller increments. The data is retrieved in bulk from Wikipedia using an API call, which returns a JavaScript Object Notation (JSON) parsed into JSON objects. I then use Google’s visualization library (Protovis) to create customized graphs. The user can select between two different types of graphs: line graphs and bubble charts, which display up to three variables per graph. Users can also select whether bubbles should be grouped or not (bubbles are group when they fall close together on the graph). cfa1e77820
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