Special Report, US, Americas

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ms-marvelesold
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But the more researchers crunch the numbers on switchgrass, the more it looks like a good candidate for an alternative fuel source. Switchgrass is a n­ative perennial species to the Americas. It grows quickly. Easily on plains. It's a tough, hardy species -- in some cases, it's considered invasive. This means that it requires less fossil fuel expended on production. Tractors used to spread fertilizer. Fuel the pumps that irrigate fields require fossil fuel. Less irrigation and less fertilizer, then, means reduced energy input, which in turn means less cost and fewer greenhouse gas emissions. What's more, switchgrass proponents say that fuel produced from the plant would make the United States more secure and independent, since it could be grown in America rather than imported from other nations. The fuel produced from switchgrass feedstock -- the raw material used to produce a distilled fuel -- is cellulosic ethanol. This alcoholic fuel is created by a chemical process of breaking down the cellulose -- the structure that makes up the cell walls in the plant.|The most successful businesses and organizations are those that constantly learn and adapt. No matter what industry you’re operating in, it’s essential to understand what has happened in the past, what’s going on now, and to anticipate what might happen in the future. So how do companies do that? The answer lies in data analytics. Most companies are collecting data all the time-but, in its raw form, this data doesn’t really mean anything. It’s what you do with the data that counts. Data analytics is the process of analyzing raw data in order to draw out patterns, trends, and insights that can tell you something meaningful about a particular area of the business. These insights are then used to make smart, data-driven decisions. The kinds of insights you get from your data depends on the type of analysis you perform. In data analytics and data science, there are four main types of analysis: Descriptive, diagnostic, predictive, and prescriptive. In this post, we’ll explain each of the four different types of analysis and consider why they’re useful.




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