Description
Non-Academic Item
Choose one item, related to the data aspects of information technology, particularly business intelligence, data mining, and data analytics, from a TED Talk (http://www.ted.com/ - you can also find TED Talks on YouTube), any of these online magazines/newspapers: MIT Technology Review, Wired, Ars Technica, TechDirt, The New York Times, CNET, The Washington Post, CIO, Information Week, or any other edited online source (refer to this Wired editorial staff listing: http://www.wired.com/wired-staff - that sort of listing indicates editors are involved) - this means you can't use some independent person's personal blog, no matter how much you may agree with what is being said - it needs to have been reviewed by an editor before going to "print", as it were.
Compose and submit to the Weeks 10 and 11 Discussion Forum - "Summary and Analysis: Non-Academic" thread a structured post (a structured post has an overall introduction, an overall conclusion, and a developed body that flows well - generally at least a few paragraphs - at least 250 words, not including the question text itself), using your own words. Please include, as well:
- An APA/MLA/Chicago, etc. reference for the item - basically, let your professor and your classmates know how to find it if we want to read/watch it.
- A brief summary of the main points that the author made in the item.
- An analysis of the item. Some points to address: 1) Did the author have a clear purpose for the item? What makes you believe so? 2) Was this purpose accomplished? How? 3) Did the author present compelling evidence to support main points? 4) Does the item have gaps? What sort? 5) Did the author present the information in a way that readers would find appealing? In what way? 6) Is the world a better place for this item being written/given? How? 7) How does this item relate to the real world, either business-wise, or personally? If it doesn't, state why.
Explanation & Answer
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Summary and Analysis: Non-Academic
Data visualization: 14 jaw-dropping examples (Simpson, 2016)
DATA VISUALIZATION
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Data visualization: 14 jaw-dropping examples (Simpson, 2016)
The article based on various talks found on the Ted Talk (Sim...